BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Opus Kinetic - ECPv6.15.12.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://www.opuskinetic.com X-WR-CALDESC:Events for Opus Kinetic REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Asia/Singapore BEGIN:STANDARD TZOFFSETFROM:+0800 TZOFFSETTO:+0800 TZNAME:+08 DTSTART:20210101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20260312 DTEND;VALUE=DATE:20260314 DTSTAMP:20260509T213958 CREATED:20250611T081738Z LAST-MODIFIED:20251227T062022Z UID:10002300-1773306000-1773421200@www.opuskinetic.com SUMMARY:Rail Cyber Security DESCRIPTION:Why Choose this Training Course\nThe railway sector is facing a new challenge: the Network Information Security (NIS) regulations. According to a 2020 survey by the European Union Agency for Cybersecurity (ENISA)\, only 33% of rail operators of essential services (OES) have fully implemented defensive measures against cyber attacks\, as recommended by NIS regulations. This places their software under serious risk\, not to mention their lack of compliance with the new regulations. \nWhen security breaches occur\, the ripple effect throughout an organisation can be vast\, with consequences that are both financial and personal. There may also be implications concerning system safety and resilience. \nThis rail cybersecurity training is an introduction to the major themes of cybersecurity and will start you on a journey to the creation of a secure rail operation. After taking this course\, you will be able to communicate effectively\, make informed trade-offs\, assess risk\, improve defences\, and reduce vulnerabilities in your systems. \nThis rail cybersecurity training is based upon the new railway cybersecurity-specific CENELEC standards\, TS50701 and best practices from other OT and IT Cybersecurity benchmarks such as ISO27001\, IEC 624423 and the Australian Standard® AS 7770 Rail Cyber Security. \nWho Should Attend\nThis rail cybersecurity training is for railway business leaders\, managers\, railway inspectors\, railway legislators\, safety professionals\, planners\, information technology (IT) professionals\, resilience specialists and railway engineers tasked with making decisions that could impact the cyber resilience of technical and organisational systems. \nThe rail cybersecurity training is focused more towards railway Operational technology (OT)\, although it also covers IT issues\, particularly their security risks and strategies from ISO-27001. No prior knowledge of cybersecurity is required for this course. \nKey Learning Objectives\nThis rail cybersecurity training is based upon the new railway cybersecurity-specific CENELEC standards\, TS50701\, and best practices from other OT and IT Cybersecurity standards such as ISO-27001\, IEC 624423 and the Australian Standard® AS 7770 Rail Cyber Security. \n\nWhat is Cybersecurity? Putting it into the context of railway and transportation\nIdentify threats and vulnerabilities (such as cybersecurity\, safety and availability)\nDevelop mitigation actions for threats and vulnerabilities and recovery from potential consequences\nCybersecurity: What standards are available for dealing with threats\nAn understanding of TS70101 and how it can improve cybersecurity across the entire railway\n\nEnquiry Form\n\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/rail-cybersecurity-training/2026-03-12/ LOCATION:Singapore\, Singapore CATEGORIES:Big Data, AI & Cybersecurity,Logistics and Supply Chain ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/06/rail-cybersecurity-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260310 DTEND;VALUE=DATE:20260312 DTSTAMP:20260509T213958 CREATED:20251221T094521Z LAST-MODIFIED:20260224T064919Z UID:10002296-1773100800-1773273599@www.opuskinetic.com SUMMARY:Railway Operational Technology Cybersecurity and Safety Critical System DESCRIPTION:Why Choose this Training Course\nThe first part of this comprehensive training course focuses on the emerging railway-specific cybersecurity standard IEC 63452 (based on TS 50701)\, alongside established best practices from operational and information technology cybersecurity frameworks such as IEC 62443 and ISO/IEC 27001. Delegates will be introduced to foundational cybersecurity concepts\,\nenabling them to assess risks\, apply countermeasures\, strengthen defences\, and reduce system vulnerabilities. Practical guidance is provided on managing cybersecurity risks throughout the lifecycle of railway assets and systems. \nThe second part of the course addresses safety-critical systems in railways\, which are essential for the successful deployment of modern technologies such as ERTMS. Emphasis is placed on the application of safety standards including: \n\nEN 50126 – for lifecycle-based reliability\, availability\, maintainability\, and safety (RAMS)\nEN 50129 – for developing and assessing safety cases for safety-related electronic systems\nEN 50716 – the new standard focused on developing safety critical software\n\nTogether\, these standards provide the necessary structure for integrating safety and cybersecurity into complex railway systems\, ensuring compliance\, assurance\, and resilience in the face of evolving threats. The course content is mapped to recognised industry competencies\, evidence frameworks for railway safety roles\, and relevant international and national standards. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\n\nRailway Business Leaders and Managers\nRailway Inspectors and Legislators\nRailway Safety Assessors\nSafety Professionals and Planners\nIT Professionals and Resilience Specialists\nRailway Engineers\n\nKey Learning Objectives\n\nComprehend the critical landscape of cybersecurity within railway systems\, including the unique challenges and the\nimportance of integrating cybersecurity throughout the railway application lifecycle\nAnalyse and apply key international and railway-specific cybersecurity standards and frameworks\, specifically IEC\n63452\, IEC 62443\, and ISO/IEC 27001\, to identify risks and implement effective countermeasures in operational and\ninformation technology environments\nConduct detailed risk assessments and define cybersecurity requirements for railway assets and systems\, including\nconsiderations for legacy infrastructure and the development of secure new devices\nUnderstand and apply the principles of EN 50126 for the specification and demonstration of Reliability\, Availability\,\nMaintainability\, and Safety (RAMS) in railway applications\nApply the requirements of EN 50129 for developing and assessing safety cases for safety-related electronic\nsystems and EN 50716 for safety-critical software development\nIntegrate cybersecurity requirements within the railway safety (RAMS) framework to ensure holistic system compliance\,\nassurance\, and resilience\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/railway-operational-technology-cybersecurity-and-safety-critical-system/2026-03-10/ LOCATION:Singapore\, Singapore CATEGORIES:Big Data, AI & Cybersecurity,Cybersecurity & OT Security ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2025/12/railway-OT-fi1-scaled.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260202 DTEND;VALUE=DATE:20260204 DTSTAMP:20260509T213958 CREATED:20251124T012725Z LAST-MODIFIED:20251124T041851Z UID:10002247-1769990400-1770163199@www.opuskinetic.com SUMMARY:Operational Technology Cybersecurity for the Semiconductor Industry DESCRIPTION:Why Choose this Training Course\nSemiconductor fabrication plants (fabs) rely heavily on highly automated OT environments where thousands of interconnected tools\, sensors\, robotics\, and chemical handling systems operate with near-zero downtime tolerance. As fabs evolve into hyper-connected smart manufacturing facilities\, their exposure to cyberattacks increases—threatening wafer production\, equipment integrity\, intellectual property\, and overall yield. \nThis OT cybersecurity semiconductor course provides a comprehensive\, semiconductor-specific approach to OT cybersecurity. Participants will learn how to secure fab equipment networks\, defend against cyber intrusions targeting automation systems\, and implement controls aligned with industry standards such as IEC 62443\, NIST\, and SEMI guidelines. The training includes real OT cyber incident case studies\, risk assessment frameworks\, and pragmatic strategies tailored to semiconductor manufacturing environments. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\n\nSemiconductor manufacturing leaders & fab operations teams\nOT/ICS engineers & automation specialists\nEHS & facilities engineering teams\nCybersecurity managers\, analysts\, and SOC personnel\nEquipment vendors\, maintenance contractors & system integrators\nIT managers overseeing OT networks or converged environments\nQuality\, compliance & risk management professionals\n\nKey Learning Objectives\n\nUnderstand Semiconductor OT & Fab Architecture\n\nOverview of fab OT ecosystem: lithography\, etching\, deposition\, metrology\, wafer transport systems\nUnderstanding tool controllers\, PLCs\, robotics\, SCADA\, and MES integration\nMapping OT–IT convergence in modern fabs\nIdentifying critical nodes: AMHS\, scrubbers\, utilities\, chemical distribution\, HVAC\, CDA systems\n\n\nIdentify Cyber Threats Targeting Semiconductor OT\n\nCommon attack vectors: ransomware\, supply chain attacks\, network lateral movement\, insider threats\nHow attackers exploit fab-specific vulnerabilities (legacy tool OS\, vendor remote access\, unpatched controllers)\nCase studies of disruptions in high-tech manufacturing and what can be learned\n\n\nApply Semiconductor Cybersecurity Standards\n\nApplying IEC 62443 to fab operations\nNIST CSF\, NIST SP 800-82 for Industrial Control Systems\nRelevant SEMI standards & guidelines (E10\, E30\, E37\, E84\, F47\, etc.) impacting secure operations\nCompliance expectations from multinational semiconductor clients\n\n\nStrengthen OT Security Architecture\n\nNetwork segmentation for fab floor OT systems\nSecure remote access policies for equipment vendors\nHardening tool controllers and embedded systems\nImplementing secure configurations without impacting tool uptime or productivity\nManaging patching in a production-critical fab environment\n\n\nDevelop OT Cyber Risk Assessment & Incident Response\n\nConducting OT risk assessments specific to semiconductor production\nCrafting incident detection & response processes for 24/7 fabs\nHandling cyber attacks that interrupt wafer production or tool qualification\nDowntime mitigation strategies and recovery planning\nCrisis management and communication structure for fab incidents\n\n\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/operational-technology-cybersecurity-for-the-semiconductor-industry/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Cybersecurity & OT Security,Management and Leadership Development ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2025/11/OT-cybersecurity-fi2.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20260129 DTEND;VALUE=DATE:20260131 DTSTAMP:20260509T213958 CREATED:20211126T073322Z LAST-MODIFIED:20251124T041928Z UID:10002245-1769677200-1769792400@www.opuskinetic.com SUMMARY:Cybersecurity for Energy & Utilities Certification DESCRIPTION:Why Choose this Training Course\nEnergy\, Power & Utilities companies are increasingly aware of the threats that can arise from cyber-related attacks and disruptions. Putting cybersecurity at the core of energy & utilities operations will be critical for the industry to fulfil their core mandate of delivering reliable energy & power to the market. Being able to effectively integrate effective cyber security strategy within your security infrastructure will be hugely critical of having a robust plan to counter cyber threats. \nFrom risk identification to scenario assessment\, from information security management to vulnerability assessment and security architecture development\, this course covers in breadth and depth all the relevant aspects of information security risk assessment and cyber threats relevant to the energy\, power and utilities industry in mitigating cyber risks\, building cyber resilience and enhancing information security risk assessment. \nThis cybersecurity oil and gas training will provide power\, electricity\, energy & utilities company attendees with the tools and know-hows of how to plan and strategically develop a cybersecurity strategy. Through applications on real cases\, lessons learned from case studies\, project exercise discussions and blueprint strategies and techniques\, attendees will find out how they can overcome pertinent challenges to cybersecurity management whilst practically ensure that they develop the required security architecture and technology to counter cyber\nrisks and threats. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\nThis cybersecurity oil and gas training is designed for heads\, managers\, engineers\, specialists and executives from across energy\, power & utilities companies who are responsible and/or involved in the following: \n\nCyber Security\nCyber Risk Management\nSystems\nIT/Information Infrastructure\nInformation Security\nTechnology\nEnergy Infrastructure\nEngineering\nTransmission & Distribution\nSmart Grids\nSCADA Systems\n\nKey Learning Objectives\n\nPlan and implement an effective cyber security strategy and program\nEnhance vulnerability assessment and management for your security operations\nRisk management – implement strategies and techniques which can be integrated your current strategy\nSecurity infrastructure hardening – best practices and proven techniques\nUnderstand how you can manage your cybersecurity vendors and leverage the most suitable solution for your business objectives\nImprove your security architecture design and management\nLearn from recent cyber-attack incidents globally and find out how you can prefer similar incidents\nImprove security network penetration and application security testing\nLearn how to roll out effective cybersecurity policies\, procedures and frameworks\nBe engaged in project exercises which equip you with practical tips and advice on how you can plan and implement an effective strategy when you return to your organization\n\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/cybersecurity-for-energy-utilities-certification-4/2026-01-29/ LOCATION:Singapore\, Singapore CATEGORIES:Big Data, AI & Cybersecurity,Cybersecurity & OT Security,Oil/Gas/Petrochemicals ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2021/11/cybersecurity-fi1-1.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20251127 DTEND;VALUE=DATE:20251129 DTSTAMP:20260509T213958 CREATED:20170623T064627Z LAST-MODIFIED:20251002T023316Z UID:10002238-1764234000-1764349200@www.opuskinetic.com SUMMARY:Advanced Petroleum Data Management - Geophysical & Wells DESCRIPTION:Why Choose this Training Course\nThis is a highly interactive course with multiple workshops where participants will create deliverables focused on their own company’s data management challenges and priorities. The focus is on subsurface digital data in the geophysical and well domains. It will be aligned with the unique challenges of operating in the Asia Pacific region such as having to liaise with external data stakeholders such as regulators\, National Oil Companies\, and joint venture partners. \nThe proof points in this course have been mapped from the Advanced Level of the public domain U.K. Oil and Gas Common Data Access (CDA) Competency Management System at https://www.cdacompetency.com/. The content will also be aligned with the Data Analyst Competency Profile and blueprint in the candidate handbook for the Professional Petroleum Data Management (PPDM) Certified Petroleum Data Analyst (CPDA) Examination. See: http://ppdm.org/certification. \nWho Should Attend\nThis geophysical data management training course is designed for professionals whose role is linked to data management and include job titles such as: \n\nE&P Data Managers\nData Executives/Engineers\nData Management Team Lead\nHeads of Data Management\nSeismic Data Engineers\nSubsurface Data Managers\nWell Data Managers\nPetroleum Data Managers\nData Application Specialists\nHead of Information Management\nHead of Knowledge Management\nHead of Upstream Systems\nHead of Information Strategy\nRecords Manager\nData/Information/Business/Technical Architect\n\nKey Learning Objectives\n\nPut in place systems and procedures for identifying\, describing and classifying internal and external digital data according to agreed standards.\nMonitor your organisation’s performance with respect to compliance internally and externally.\nSet-up and configure systems to archive data and ensure adequate metadata is captured for later retrieval.\nSelectively support\, monitor and report project activities by identifying the data management activities required.\nAbility to review a backup disaster recovery plan and determine its robustness.\nIdentify areas of stress/weakness and allocate resources\, implement processes and strategies to manage data asset through the exploit/use phase of the lifecycle.\nTroubleshoot data quality problems related to missing or insufficient standards.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/advanced-petroleum-data-management-geophysical-wells/2025-11-27/ LOCATION:Malaysia\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Oil/Gas/Petrochemicals ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2017/06/petroleum-data-fi1.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:4.210484;101.975766 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20251110 DTEND;VALUE=DATE:20251112 DTSTAMP:20260509T213958 CREATED:20250102T044210Z LAST-MODIFIED:20250828T101625Z UID:10002173-1762765200-1762880400@www.opuskinetic.com SUMMARY:Mastering AI in Tenders & Contracts DESCRIPTION:Why Choose this Training Course\nThis AI tenders and contracts training addresses the key issues and challenges that tenders and contracting professionals face with Artificial Intelligence\, and how to ensure that AI serves as an enabler of their success. \nLearning to use AI in contracts and supply chain management is not just about staying ahead—it’s about redefining the game. Imagine having the ability to seamlessly analyze complex contracts\, predict supply chain disruptions before they occur\, and streamline operations all from the palm of your hand. AI transforms reactive processes into proactive strategies\, giving you the edge in efficiency\, precision\, and foresight. In a competitive market\, those who harness the power of AI aren’t just keeping up; they’re leading the charge\, carving out a future where every decision is informed\, every risk is mitigated\, and every operation runs like a well-oiled machine. Stay relevant. Stay powerful. Be the future. \nWho Should Attend\n\nSCM\, purchasing\, sourcing and supply management professionals\nSales contracting professionals\nContract lawyers and attorneys\nContract management professionals\nContract managers and administrators\nContract end-users who impact\, or are impacted by\, the contracting process – including Operations\, Project/Development team members\nFinance professionals involved in contracting\nContract negotiators\nOperational managers\nCommercial relationship managers\nProject managers\nRisk managers\nChange management leaders\n\nKey Learning Objectives\nUpon completing this online session\, participants will be able to: \n\nUnderstand how AI can automate repetitive tasks\, such as contract analysis and supply chain monitoring\, freeing up time for more strategic activities.\nAchieve greater accuracy\, as AI reduces human error in contract management and supply chain operations\, ensuring more accurate data and decision-making.\nManage risk with greater effectiveness by identifyingy potential risks and compliance issues in contracts and supply chains\, helping you proactively mitigate those risks.\nGenerate cost savings by optimizing processes and reducing errors.\nGain greater insights in analyzing large datasets – providing valuable insights and ensuring better decision-making.\nOperate more efficiently\, accurately\, and cost-effectively\, while also providing strategic advantages.\nAchieve excellence in your commercial relationships.\nRealize the full value and risk reductions that you have negotiated.\nDevelop and improve upon skills in a wide range of contracting and supply chain management practices.\nLearn how to drive greater value and innovation into subsequent contracting cycles with your commercial partners.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/mastering-ai-in-tenders-contracts/2025-11-10/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Contracts ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/01/AI-tenders-contracts-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20251103 DTEND;VALUE=DATE:20251105 DTSTAMP:20260509T213958 CREATED:20250102T044210Z LAST-MODIFIED:20250828T101625Z UID:10002212-1762160400-1762275600@www.opuskinetic.com SUMMARY:Mastering AI in Tenders & Contracts DESCRIPTION:Why Choose this Training Course\nThis AI tenders and contracts training addresses the key issues and challenges that tenders and contracting professionals face with Artificial Intelligence\, and how to ensure that AI serves as an enabler of their success. \nLearning to use AI in contracts and supply chain management is not just about staying ahead—it’s about redefining the game. Imagine having the ability to seamlessly analyze complex contracts\, predict supply chain disruptions before they occur\, and streamline operations all from the palm of your hand. AI transforms reactive processes into proactive strategies\, giving you the edge in efficiency\, precision\, and foresight. In a competitive market\, those who harness the power of AI aren’t just keeping up; they’re leading the charge\, carving out a future where every decision is informed\, every risk is mitigated\, and every operation runs like a well-oiled machine. Stay relevant. Stay powerful. Be the future. \nWho Should Attend\n\nSCM\, purchasing\, sourcing and supply management professionals\nSales contracting professionals\nContract lawyers and attorneys\nContract management professionals\nContract managers and administrators\nContract end-users who impact\, or are impacted by\, the contracting process – including Operations\, Project/Development team members\nFinance professionals involved in contracting\nContract negotiators\nOperational managers\nCommercial relationship managers\nProject managers\nRisk managers\nChange management leaders\n\nKey Learning Objectives\nUpon completing this online session\, participants will be able to: \n\nUnderstand how AI can automate repetitive tasks\, such as contract analysis and supply chain monitoring\, freeing up time for more strategic activities.\nAchieve greater accuracy\, as AI reduces human error in contract management and supply chain operations\, ensuring more accurate data and decision-making.\nManage risk with greater effectiveness by identifyingy potential risks and compliance issues in contracts and supply chains\, helping you proactively mitigate those risks.\nGenerate cost savings by optimizing processes and reducing errors.\nGain greater insights in analyzing large datasets – providing valuable insights and ensuring better decision-making.\nOperate more efficiently\, accurately\, and cost-effectively\, while also providing strategic advantages.\nAchieve excellence in your commercial relationships.\nRealize the full value and risk reductions that you have negotiated.\nDevelop and improve upon skills in a wide range of contracting and supply chain management practices.\nLearn how to drive greater value and innovation into subsequent contracting cycles with your commercial partners.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/mastering-ai-in-tenders-contracts/2025-11-03/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Contracts ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/01/AI-tenders-contracts-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20251022 DTEND;VALUE=DATE:20251024 DTSTAMP:20260509T213958 CREATED:20250611T081738Z LAST-MODIFIED:20251227T062022Z UID:10002147-1761091200-1761263999@www.opuskinetic.com SUMMARY:Rail Cyber Security DESCRIPTION:Why Choose this Training Course\nThe railway sector is facing a new challenge: the Network Information Security (NIS) regulations. According to a 2020 survey by the European Union Agency for Cybersecurity (ENISA)\, only 33% of rail operators of essential services (OES) have fully implemented defensive measures against cyber attacks\, as recommended by NIS regulations. This places their software under serious risk\, not to mention their lack of compliance with the new regulations. \nWhen security breaches occur\, the ripple effect throughout an organisation can be vast\, with consequences that are both financial and personal. There may also be implications concerning system safety and resilience. \nThis rail cybersecurity training is an introduction to the major themes of cybersecurity and will start you on a journey to the creation of a secure rail operation. After taking this course\, you will be able to communicate effectively\, make informed trade-offs\, assess risk\, improve defences\, and reduce vulnerabilities in your systems. \nThis rail cybersecurity training is based upon the new railway cybersecurity-specific CENELEC standards\, TS50701 and best practices from other OT and IT Cybersecurity benchmarks such as ISO27001\, IEC 624423 and the Australian Standard® AS 7770 Rail Cyber Security. \nWho Should Attend\nThis rail cybersecurity training is for railway business leaders\, managers\, railway inspectors\, railway legislators\, safety professionals\, planners\, information technology (IT) professionals\, resilience specialists and railway engineers tasked with making decisions that could impact the cyber resilience of technical and organisational systems. \nThe rail cybersecurity training is focused more towards railway Operational technology (OT)\, although it also covers IT issues\, particularly their security risks and strategies from ISO-27001. No prior knowledge of cybersecurity is required for this course. \nKey Learning Objectives\nThis rail cybersecurity training is based upon the new railway cybersecurity-specific CENELEC standards\, TS50701\, and best practices from other OT and IT Cybersecurity standards such as ISO-27001\, IEC 624423 and the Australian Standard® AS 7770 Rail Cyber Security. \n\nWhat is Cybersecurity? Putting it into the context of railway and transportation\nIdentify threats and vulnerabilities (such as cybersecurity\, safety and availability)\nDevelop mitigation actions for threats and vulnerabilities and recovery from potential consequences\nCybersecurity: What standards are available for dealing with threats\nAn understanding of TS70101 and how it can improve cybersecurity across the entire railway\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/rail-cybersecurity-training/2025-10-22/ LOCATION:Singapore\, Singapore CATEGORIES:Big Data, AI & Cybersecurity,Logistics and Supply Chain ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/06/rail-cybersecurity-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20251013 DTEND;VALUE=DATE:20251017 DTSTAMP:20260509T213958 CREATED:20250410T080719Z LAST-MODIFIED:20250410T081700Z UID:10002109-1760313600-1760659199@www.opuskinetic.com SUMMARY:AI Mastery in Upstream: Neural Networks\, Deep Learning\, and MLOps DESCRIPTION:Why Choose this Training Course\nThis hands-on upstream AI training course is crafted to provide participants with in-depth knowledge and practical experience in key Deep Learning techniques\, including Reinforcement Learning\, Generative Adversarial Networks (GANs)\, and Large Language Models (LLMs). Blending theoretical insights with practical exercises based on real-world Oil & Gas datasets\, the upstream AI training eural enables participants to develop the skills needed to confidently apply Deep Learning in solving everyday challenges within the Oil & Gas industry. \nThis upstream AI training offers a deep dive into Deep Learning and MLOps tailored for Oil & Gas professionals. Participants begin with foundational knowledge in machine learning\, TensorFlow\, and MLOps\, learning to build and optimize feedforward neural networks. The course progresses into convolutional neural networks\, object detection\, and image segmentation\, applied to tasks like pump monitoring and satellite image analysis. Time-series modeling\, anomaly detection\, and Bayesian networks are explored with applications in ESP maintenance and reservoir forecasting. Advanced natural language processing techniques such as text classification\, summarization\, and Named Entity Recognition are applied to industry texts\, with a focus on building user-friendly interfaces. The final day of this upstream AI training covers cutting-edge techniques including reinforcement learning for well placement and generative AI—using GANs and LLMs—for creating synthetic data and extracting insights from unstructured documents. Through hands-on exercises and real-world datasets\, participants gain practical skills to build\, deploy\, and manage robust AI solutions in upstream operations. \nWho Should Attend\nA reservoir engineer\, geologist\, petrophysicist\, or production/drilling engineer with programming experience and foundational knowledge of data science and machine learning\, looking to build a strong grasp of neural networks\, deep learning\, and machine learning operations (MLOps). \nKey Learning Objectives\n\nRecognizing opportunities to apply Deep Learning techniques within your area of expertise\nMaking informed choices when selecting appropriate machine learning approaches for specific challenges\nUnderstanding fundamental Deep Learning algorithms and how to implement them using TensorFlow and Keras\nApplying key machine learning methods to practical\, real-world scenarios in the Oil & Gas industry\nKey Deep Learning algorithms will be explored in depth\, supported by a variety of reusable code examples drawn from real-world Oil & Gas datasets.\nMLOps principles will also be covered\, providing guidance on developing complete end-to-end machine learning solutions—from defining project scope and training models to deploying them and creating user-friendly graphical interfaces.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/ai-mastery-in-upstream-neural-networks-deep-learning-and-mlops/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Oil/Gas/Petrochemicals ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/04/Firefly-high-technology-big-data-for-the-upstream-oil-and-gas-sector-93194-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250909 DTEND;VALUE=DATE:20250911 DTSTAMP:20260509T213958 CREATED:20250611T053013Z LAST-MODIFIED:20260107T050230Z UID:10002145-1757376000-1757548799@www.opuskinetic.com SUMMARY:Safety Critical Software in Rail (SCSR) DESCRIPTION:Why Choose this Training Course\nThis SCSR training course provides software developers\, engineers\, testers\, managers and others involved in safety-related projects with a detailed understanding of the fundamentals of safety critical software development and testing. This SCSR training course is supported by a competency-based structure. The opening module provides background to software lifecycle and\nthe standards and their application in the railway drawing upon best practice. The next modules introduce a number of incidents where software failures resulted in incidents. The next modules go into depth regarding the content\, aims and requirements for developing software for the railway in accordance with EN50128 for all SIL levels. \nThe course content is mapped to: \n\nIndustry standard competencies\, skills and evidence requirements relevant to rail safety work (see our website for details)\nIndustry regulations\nNational and international standards\nInformation is interspersed with practical exercises. There is a short multiple-choice examination at the end to assess the identified learning outcomes\n\nWho Should Attend\n\nProject Application Engineer\nSystems Assurance Engineer\nRisk Specialist\nSafety Assurance Manager\nProject Engineer\nSenior Risk Advisor\nSoftware Engineer\nSystems Engineer\nProject Manager\nSoftware Developer\nValidation Engineer\n\nKey Learning Objectives\n\nDEMONSTRATE a sound understanding of the principles and language of Safety Critical Software\nAPPRECIATE software risk in the context of railway design and safety management\nDESCRIBE how software design and the software safety lifecycle interact and influence each other\nAPPRECIATE how current best practice in software safety standards and in particular latest EN50128 and EN50567\nUNDERSTAND the complexity of railway accidents involving software failur\nUNDERSTAND the need for a risk-based system engineering lifecycle approach to enable built-in safety\, value and performance\nIDENTIFY and mitigate Security issues from Cyber Threats\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/safety-critical-software-in-rail-scsr-training/2025-09-09/ LOCATION:Singapore\, Singapore CATEGORIES:Big Data, AI & Cybersecurity,Logistics and Supply Chain ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/06/scsr-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250825 DTEND;VALUE=DATE:20250829 DTSTAMP:20260509T213958 CREATED:20240807T072507Z LAST-MODIFIED:20260309T032018Z UID:10002050-1756112400-1756400400@www.opuskinetic.com SUMMARY:Practical Data Science and Machine Learning for Oil & Gas Professionals DESCRIPTION:Why Choose this Training Course\nThis highly practical data science training course is designed to equip Oil & Gas professionals with a thorough introduction to essential machinlearning methods and a solid hands-on experience in data science and machine learning applications. \nThroughout this data science training\, participants will acquire comprehensive knowledge and develop practical skills necessary for integrating data science and machine learning into their daily work. By mastering these techniques\, participants will improve efficiency and effectiveness in both current and future projects\, ultimately leading to significant improvements in overall performance and substantial value creation for their companies. \nWho Should Attend\nGeologists\, petrophysicists\, reservoir engineers\, production engineers\, drilling engineers and other Oil & Gas professionals keen to obtain a fundamental understanding and practical skills in Machine Learning and Data Science. \nPrerequisite: \n\nParticipants should have strong upstream domain knowledge and at least 5 years of experience.\nPrior programming experience (Python) is an advantage. Recommended pre-reading material on Python can be provided upon request.\n\nKey Learning Objectives\n\nComprehensive Introduction: Gain a foundational understanding of both supervised and unsupervised learning algorithms\, including advanced topics such as deep learning and model explainability.\nHands-On Experience: Build practical skills through detailed\, step-by-step guidance on applying various machine learning methods to real-world Oil & Gas problems.\nConfidence Building: Start with simple\, clear explanations of each method\, gradually progressing to more complex applications and techniques.\nCapability enhancement: Learn how to implement the knowledge gained\, using carefully crafted code examples that can be directly applied to ongoing and future projects\, enhancing overall performance.\nBusiness impact assessment: Develop the ability to identify actual Oil & Gas industry challenges and solve them\neffectively by leveraging Machine Learning and Data Science methods.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/data-science-training-2/2025-08-25/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Reservoir Engineering ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2021/11/machine-learning-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250818 DTEND;VALUE=DATE:20250820 DTSTAMP:20260509T213958 CREATED:20250102T044210Z LAST-MODIFIED:20250828T101625Z UID:10002003-1755507600-1755622800@www.opuskinetic.com SUMMARY:Mastering AI in Tenders & Contracts DESCRIPTION:Why Choose this Training Course\nThis AI tenders and contracts training addresses the key issues and challenges that tenders and contracting professionals face with Artificial Intelligence\, and how to ensure that AI serves as an enabler of their success. \nLearning to use AI in contracts and supply chain management is not just about staying ahead—it’s about redefining the game. Imagine having the ability to seamlessly analyze complex contracts\, predict supply chain disruptions before they occur\, and streamline operations all from the palm of your hand. AI transforms reactive processes into proactive strategies\, giving you the edge in efficiency\, precision\, and foresight. In a competitive market\, those who harness the power of AI aren’t just keeping up; they’re leading the charge\, carving out a future where every decision is informed\, every risk is mitigated\, and every operation runs like a well-oiled machine. Stay relevant. Stay powerful. Be the future. \nWho Should Attend\n\nSCM\, purchasing\, sourcing and supply management professionals\nSales contracting professionals\nContract lawyers and attorneys\nContract management professionals\nContract managers and administrators\nContract end-users who impact\, or are impacted by\, the contracting process – including Operations\, Project/Development team members\nFinance professionals involved in contracting\nContract negotiators\nOperational managers\nCommercial relationship managers\nProject managers\nRisk managers\nChange management leaders\n\nKey Learning Objectives\nUpon completing this online session\, participants will be able to: \n\nUnderstand how AI can automate repetitive tasks\, such as contract analysis and supply chain monitoring\, freeing up time for more strategic activities.\nAchieve greater accuracy\, as AI reduces human error in contract management and supply chain operations\, ensuring more accurate data and decision-making.\nManage risk with greater effectiveness by identifyingy potential risks and compliance issues in contracts and supply chains\, helping you proactively mitigate those risks.\nGenerate cost savings by optimizing processes and reducing errors.\nGain greater insights in analyzing large datasets – providing valuable insights and ensuring better decision-making.\nOperate more efficiently\, accurately\, and cost-effectively\, while also providing strategic advantages.\nAchieve excellence in your commercial relationships.\nRealize the full value and risk reductions that you have negotiated.\nDevelop and improve upon skills in a wide range of contracting and supply chain management practices.\nLearn how to drive greater value and innovation into subsequent contracting cycles with your commercial partners.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/mastering-ai-in-tenders-contracts/2025-08-18/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Contracts ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/01/AI-tenders-contracts-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250717 DTEND;VALUE=DATE:20250719 DTSTAMP:20260509T213958 CREATED:20250204T045145Z LAST-MODIFIED:20250204T045145Z UID:10002027-1752710400-1752883199@www.opuskinetic.com SUMMARY:Best Practices for Subsurface Data DESCRIPTION:Why Choose this Training Course\nMany organizations are looking to re-task and up-skill their data management personnel to focus on important data types\, fill roles in projects that are critical to success\, and position staff for changes in the energy industry. \nIn addition\, the competitive pricing regime means that many assets will be examined internally for divestiture\, joint venture\, mergers\, or acquisition and will require auditable\, coherent and well curated data sets available for evaluation. This course teaches the processes that capture and transform raw data into actionable insight to improve asset value and reduce risk for the petroleum industry. \nOne of the challenges the industry faces is making validated data available to decision-makers across several departments\, functions or disciplines in a timeframe that supports critical business decisions. This subsurface data training course gives participants hands-on techniques for breaking down barriers and making data available to decision makers. The subsurface data training course draws on case studies and examples from upstream and subsurface technical data. \nRecent work with petroleum data analysts has highlighted the areas of best practice from field validated data management methodologies that will be most important in the next 18 months of a rapidly changing energy and resource sector. This course has been customized based on those industry priorities and is a highly interactive and hands on practical course for technical workers who deal with oil and gas data in subsurface operations domains. \nThe procedures and high level enterprise processes can be applied to reduce risk and to develop lessons learned for critical legacy data. There is a continued push for programs and initiatives that will deliver efficiencies and benefits in a short time frame with demonstrable value and metrics. \nThis subsurface data training course will equip data managers and technicians with the competencies and skill sets needed to deliver value from all types of data\, using industry best practices and proof points from an established data management body of knowledge. The course content is aligned with competency definitions\, indicators and resources in the Professional Petroleum Data Management Association’s Certified Petroleum Data Analyst (CPDA) Exam. \nAfter the subsurface data training course\, participants will have the option to have the course instructor serve as a Recommender for the Certified Petroleum Data Analyst exam\, or to have internal one-on-one follow up sessions. \nWho Should Attend\nThis subsurface data training format works best with professionals whose role is linked to data management and could include: \n\nData managers\nData analysts\nData technicians\nDocument managers\nFacilities data managers and technicians\nEngineering records managers\nData architects\nTechnical librarians for asset teams\nSurface data content managers\nOperational information managers\nEnd users of operational\, facilities and engineering data\nAsset team data managers\nIndustry content providers\nTechnical assistants working with operational data.\n\nKey Learning Objectives\n\nManage data as an asset through exploration and production lifecycle processes\nLearn how an organization analyses and oversees maintenance of data and information stores\nExamine how organizations apply quality management methods to assess\, improve and assure data fitness for business use\nCommunicate value of data in a clear and timely manner to align with business strategy\nApply policies\, practices\, and procedures to assure compliance with company and regulatory data governance business rules •\nExecute strategies for data security management\nOptimize the use of critical geospatial data for petroleum analysis\nSelect and prioritize the scope of data types to be managed in master data storesw\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/best-practices-for-subsurface-data/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Oil/Gas/Petrochemicals ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/02/subsurface-data-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250716 DTEND;VALUE=DATE:20250719 DTSTAMP:20260509T213958 CREATED:20170623T064627Z LAST-MODIFIED:20251002T023316Z UID:10001957-1752656400-1752858000@www.opuskinetic.com SUMMARY:Advanced Petroleum Data Management - Geophysical & Wells DESCRIPTION:Why Choose this Training Course\nThis is a highly interactive course with multiple workshops where participants will create deliverables focused on their own company’s data management challenges and priorities. The focus is on subsurface digital data in the geophysical and well domains. It will be aligned with the unique challenges of operating in the Asia Pacific region such as having to liaise with external data stakeholders such as regulators\, National Oil Companies\, and joint venture partners. \nThe proof points in this course have been mapped from the Advanced Level of the public domain U.K. Oil and Gas Common Data Access (CDA) Competency Management System at https://www.cdacompetency.com/. The content will also be aligned with the Data Analyst Competency Profile and blueprint in the candidate handbook for the Professional Petroleum Data Management (PPDM) Certified Petroleum Data Analyst (CPDA) Examination. See: http://ppdm.org/certification. \nWho Should Attend\nThis geophysical data management training course is designed for professionals whose role is linked to data management and include job titles such as: \n\nE&P Data Managers\nData Executives/Engineers\nData Management Team Lead\nHeads of Data Management\nSeismic Data Engineers\nSubsurface Data Managers\nWell Data Managers\nPetroleum Data Managers\nData Application Specialists\nHead of Information Management\nHead of Knowledge Management\nHead of Upstream Systems\nHead of Information Strategy\nRecords Manager\nData/Information/Business/Technical Architect\n\nKey Learning Objectives\n\nPut in place systems and procedures for identifying\, describing and classifying internal and external digital data according to agreed standards.\nMonitor your organisation’s performance with respect to compliance internally and externally.\nSet-up and configure systems to archive data and ensure adequate metadata is captured for later retrieval.\nSelectively support\, monitor and report project activities by identifying the data management activities required.\nAbility to review a backup disaster recovery plan and determine its robustness.\nIdentify areas of stress/weakness and allocate resources\, implement processes and strategies to manage data asset through the exploit/use phase of the lifecycle.\nTroubleshoot data quality problems related to missing or insufficient standards.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/advanced-petroleum-data-management-geophysical-wells/2025-07-16/ LOCATION:Malaysia\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Oil/Gas/Petrochemicals ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2017/06/petroleum-data-fi1.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:4.210484;101.975766 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250528 DTEND;VALUE=DATE:20250530 DTSTAMP:20260509T213958 CREATED:20250120T032236Z LAST-MODIFIED:20250120T032236Z UID:10001988-1748390400-1748563199@www.opuskinetic.com SUMMARY:E&P Data Management DESCRIPTION:Why Choose this Training Course\nThis &P data management focuses on how key facets of successful field-validated data governance frameworks can be deployed at resource industry organizations\, based on industry accepted optimum practices and standards\, and lessons learned from real-world experience. \nWho Should Attend\nThis E&P data management training works best with professionals whose role is linked to data management and could include: \n\nData managers\nData analysts\nData technicians\nDocument managers\nFacilities data managers and technicians\nEngineering records managers\nData architects\nTechnical librarians for asset teams\nSurface data content managers\nOperational information managers\nEnd users of operational\, facilities and engineering data\nAsset team data managers\nIndustry content provider\nTechnical assistants working with operational data\n\nKey Learning Objectives\n\nRecognize and identify where data governance is enabled in an organization\nDescribe the value of data governance for internal and external stakeholders\nIndicate how roles and responsibilities are deployed in data management activities\nUnderstand how to deploy data management activities within data governance frameworks\nUse industry standard language for organizational data governance terms and definitions\nExplain how data governance maintains the value of data through its lifecycle\nMap data workflow roles to data governance accountabilities and responsibilities\nIdentify data governance roles implement data classification and entitlements\nSuggest ways to measure the value added by data governance\nPropose a level of data governance appropriate to an organization’s complexity\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/ep-data-management/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Oil/Gas/Petrochemicals ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/01/data-management-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250526 DTEND;VALUE=DATE:20250528 DTSTAMP:20260509T213958 CREATED:20250120T014149Z LAST-MODIFIED:20250120T014909Z UID:10001987-1748217600-1748390399@www.opuskinetic.com SUMMARY:Petroleum Data Analysis DESCRIPTION:Why Choose this Training Course\nMany organizations are looking to re-task and up-skill their data management personnel to focus on important data types\, fill roles in projects that are critical to success\, and position staff for changes in the energy industry. In addition\, the competitive pricing regime means that many assets will be examined internally for divestiture\, joint venture\, mergers\, or acquisition and will require auditable\, coherent and well curated data sets available for evaluation. This course teaches the processes that capture and transform raw data into actionable insight to improve asset value and reduce risk for the petroleum industry. One of the challenges the industry faces is making validated data available to decision-makers across several departments\, functions or disciplines in a timeframe that supports critical business decisions. This course gives participants hands-on techniques for breaking down barriers and making data available to decision makers. The course draws on case studies and examples from upstream and subsurface technical data. \nRecent work with petroleum data analysts has highlighted the areas of best practice from field validated data management methodologies that will be most important in the next 18 months of a rapidly changing energy and resource sector. This course has been customized based on those industry priorities and is a highly interactive and hands on practical course for technical workers who deal with oil and gas data in subsurface operations domains. \nThe procedures and high level enterprise processes can be applied to reduce risk and to develop lessons learned for critical legacy data. There is a continued push for programs and initiatives that will deliver efficiencies and benefits in a short time frame with demonstrable value and metrics. \nThis petroleum data analysis training will equip data managers and technicians with the competencies and skill sets needed to deliver value from all types of data\, using industry best practices and proof points from an established data management body of knowledge. The petroleum data analysis training content is aligned with competency definitions\, indicators and resources in the Professional Petroleum Data Management Association’s Certified Petroleum Data Analyst (CPDA) Exam. \nWho Should Attend\nThis petroleum data analysis training works best with professionals whose role is linked to data management and could include: \n\nData managers\nData analysts\nData technicians\nDocument managers\nFacilities data managers and technicians\nEngineering records managers\nData architects\nTechnical librarians for asset teams\nSurface data content managers\nOperational information managers\nEnd users of operational\, facilities and engineering data\nAsset team data managers\nIndustry content provider\nTechnical assistants working with operational data\n\nKey Learning Objectives\n\nManage data as an asset through exploration and production lifecycle processes\nLearn how an organization analyses and oversees maintenance of data and information stores\nExamine how organizations apply quality management methods to assess\, improve and assure data fitness for business use\nCommunicate value of data in a clear and timely manner to align with business strategy\nApply policies\, practices\, and procedures to assure compliance with company and regulatory data governance business rules •\nExecute strategies for data security management\nOptimize the use of critical geospatial data for petroleum analysis\nSelect and prioritize the scope of data types to be managed in master data stores\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/petroleum-data-analysis/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Oil/Gas/Petrochemicals ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/01/petroleum-data-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250522 DTEND;VALUE=DATE:20250523 DTSTAMP:20260509T213958 CREATED:20240320T072136Z LAST-MODIFIED:20250131T013513Z UID:10001999-1747904400-1747933200@www.opuskinetic.com SUMMARY:Mastering AI for Communication Efficiency DESCRIPTION:Why Choose this Training Course\n\n\n\n\n\n\n\n\n\n\nThis is a one-day AI efficiency training course. In an era where communication is paramount\, yet time is scarce\, Artificial Intelligence (AI) emerges as a powerful ally. The “Mastering AI for Efficiency’ – AI bootcamp” AI efficiency training is designed to unlock the potential of AI in enhancing communication efficiency and effectiveness. This course\, divided into two 3.5-hour modules\, guides participants through the landscape of AI tools and techniques that can revolutionise the way we create\, understand\, and engage with content and each other. From writing assistance to speech recognition and beyond\, discover how AI can transform your communication strategies\, making them more impactful and effortless. \n\n\n\n\n\n\n\n\n\n\nWho Should Attend\nThis AI efficiency training is suistable for all professionals wish to gain more confidence in using AI for efficient communication efforts. \nCareer Level: All career levels \nKey Learning Objectives\n\nGain an understanding of artificial intelligence and its role in modern communication.\nRecognize how AI technologies are transforming the landscape of digital communication.\nIdentify and explore a variety of AI tools for writing assistance\, speech transcription\, email and social communication.\nLearn practical applications of AI in creating engaging content\, including blogs\, articles\, and multimedia content.\nGain hands-on experience in integrating AI tools into personal and organisational communication strategies.\nUnderstand the ethical implications and considerations of using AI in communication.\nLearn strategies for responsible use of AI\, including maintaining human oversight\, ensuring data privacy\, and addressing bias in AI algorithms.\nEngage in interactive discussions and workshops to foster collaborative learning and innovation.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/mastering-ai-for-efficiency-masterclass/2025-05-22/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Communications,Management and Leadership Development ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2024/03/AI-fi1.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250521 DTEND;VALUE=DATE:20250523 DTSTAMP:20260509T213958 CREATED:20250102T044210Z LAST-MODIFIED:20250828T101625Z UID:10001906-1747818000-1747933200@www.opuskinetic.com SUMMARY:Mastering AI in Tenders & Contracts DESCRIPTION:Why Choose this Training Course\nThis AI tenders and contracts training addresses the key issues and challenges that tenders and contracting professionals face with Artificial Intelligence\, and how to ensure that AI serves as an enabler of their success. \nLearning to use AI in contracts and supply chain management is not just about staying ahead—it’s about redefining the game. Imagine having the ability to seamlessly analyze complex contracts\, predict supply chain disruptions before they occur\, and streamline operations all from the palm of your hand. AI transforms reactive processes into proactive strategies\, giving you the edge in efficiency\, precision\, and foresight. In a competitive market\, those who harness the power of AI aren’t just keeping up; they’re leading the charge\, carving out a future where every decision is informed\, every risk is mitigated\, and every operation runs like a well-oiled machine. Stay relevant. Stay powerful. Be the future. \nWho Should Attend\n\nSCM\, purchasing\, sourcing and supply management professionals\nSales contracting professionals\nContract lawyers and attorneys\nContract management professionals\nContract managers and administrators\nContract end-users who impact\, or are impacted by\, the contracting process – including Operations\, Project/Development team members\nFinance professionals involved in contracting\nContract negotiators\nOperational managers\nCommercial relationship managers\nProject managers\nRisk managers\nChange management leaders\n\nKey Learning Objectives\nUpon completing this online session\, participants will be able to: \n\nUnderstand how AI can automate repetitive tasks\, such as contract analysis and supply chain monitoring\, freeing up time for more strategic activities.\nAchieve greater accuracy\, as AI reduces human error in contract management and supply chain operations\, ensuring more accurate data and decision-making.\nManage risk with greater effectiveness by identifyingy potential risks and compliance issues in contracts and supply chains\, helping you proactively mitigate those risks.\nGenerate cost savings by optimizing processes and reducing errors.\nGain greater insights in analyzing large datasets – providing valuable insights and ensuring better decision-making.\nOperate more efficiently\, accurately\, and cost-effectively\, while also providing strategic advantages.\nAchieve excellence in your commercial relationships.\nRealize the full value and risk reductions that you have negotiated.\nDevelop and improve upon skills in a wide range of contracting and supply chain management practices.\nLearn how to drive greater value and innovation into subsequent contracting cycles with your commercial partners.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/mastering-ai-in-tenders-contracts/2025-05-21/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Contracts ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/01/AI-tenders-contracts-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250519 DTEND;VALUE=DATE:20250522 DTSTAMP:20260509T213958 CREATED:20231222T040026Z LAST-MODIFIED:20251124T042100Z UID:10001946-1747645200-1747846800@www.opuskinetic.com SUMMARY:Streamlining Business through Business Intelligence\, Artificial Intelligence & Big Data Analytics DESCRIPTION:Why Choose this Training Course\nParticipants will be able to use data accumulated in the organisation to provide valuable insights into future business decisions. This widens the job scope of the employees and creates potential for companies to enhance productivity. \nThis business intelligence training course differs from other training programs in the market as it is not vendor-specific. Instead of forcing attendees to fit the company into the BI tools ability\, Daan will teach participants on what to look out for when picking a BI tool that will best fit the company. On top of that\, the course aims to teach you the best practices to implement BI throughout the firm and to perform predictive analysis as well. The business intelligence training course will advice trainees on how to plan for\, create and sustain a BI framework within the company regardless of the tools currently used by the company. Participants will also be tutored on how to use the BIL framework to create exceptionally intelligent dashboards and predictive analysis that will essentially increase organizational performance. \nWho Should Attend\n\nBI managers\nIT managers\nBusiness Managers\nAnalytic Translators\nProject Managers\nIT & BI Consultants\nBusiness Data Scientists\nInformation Managers\nCIO\nCFO’s\nChief Data Officers (CDO)\n\nKey Learning Objectives\n• Key performance indicators & world-class intelligence\n• How to create world-class intelligence in your dashboards & reports?\n• AI & data leadership: case & steps to a successful implementation\n• Top BI & AI trends 2030\n• Business Intelligence & AI project management & governance\n• Artificial Intelligence & Data science\n• Data warehousing\, data lakes and tooling from a functional perspective\n• How to increase organizational Performance (Case Study) \nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/streamlining-business-through-business-intelligence-artificial-intelligence-big-data-analytics-2/2025-05-19/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data & Analytics,Big Data, AI & Cybersecurity,Corporate, Business Management and HR,Marine and Offshore,Oil/Gas/Petrochemicals,Project ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2020/12/business-intelligence-fi1.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250324 DTEND;VALUE=DATE:20250327 DTSTAMP:20260509T213958 CREATED:20231222T040026Z LAST-MODIFIED:20251124T042100Z UID:10001945-1742806800-1743008400@www.opuskinetic.com SUMMARY:Streamlining Business through Business Intelligence\, Artificial Intelligence & Big Data Analytics DESCRIPTION:Why Choose this Training Course\nParticipants will be able to use data accumulated in the organisation to provide valuable insights into future business decisions. This widens the job scope of the employees and creates potential for companies to enhance productivity. \nThis business intelligence training course differs from other training programs in the market as it is not vendor-specific. Instead of forcing attendees to fit the company into the BI tools ability\, Daan will teach participants on what to look out for when picking a BI tool that will best fit the company. On top of that\, the course aims to teach you the best practices to implement BI throughout the firm and to perform predictive analysis as well. The business intelligence training course will advice trainees on how to plan for\, create and sustain a BI framework within the company regardless of the tools currently used by the company. Participants will also be tutored on how to use the BIL framework to create exceptionally intelligent dashboards and predictive analysis that will essentially increase organizational performance. \nWho Should Attend\n\nBI managers\nIT managers\nBusiness Managers\nAnalytic Translators\nProject Managers\nIT & BI Consultants\nBusiness Data Scientists\nInformation Managers\nCIO\nCFO’s\nChief Data Officers (CDO)\n\nKey Learning Objectives\n• Key performance indicators & world-class intelligence\n• How to create world-class intelligence in your dashboards & reports?\n• AI & data leadership: case & steps to a successful implementation\n• Top BI & AI trends 2030\n• Business Intelligence & AI project management & governance\n• Artificial Intelligence & Data science\n• Data warehousing\, data lakes and tooling from a functional perspective\n• How to increase organizational Performance (Case Study) \nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/streamlining-business-through-business-intelligence-artificial-intelligence-big-data-analytics-2/2025-03-24/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data & Analytics,Big Data, AI & Cybersecurity,Corporate, Business Management and HR,Marine and Offshore,Oil/Gas/Petrochemicals,Project ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2020/12/business-intelligence-fi1.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250218 DTEND;VALUE=DATE:20250220 DTSTAMP:20260509T213958 CREATED:20250102T044210Z LAST-MODIFIED:20250828T101625Z UID:10002144-1739836800-1740009599@www.opuskinetic.com SUMMARY:Mastering AI in Tenders & Contracts DESCRIPTION:Why Choose this Training Course\nThis AI tenders and contracts training addresses the key issues and challenges that tenders and contracting professionals face with Artificial Intelligence\, and how to ensure that AI serves as an enabler of their success. \nLearning to use AI in contracts and supply chain management is not just about staying ahead—it’s about redefining the game. Imagine having the ability to seamlessly analyze complex contracts\, predict supply chain disruptions before they occur\, and streamline operations all from the palm of your hand. AI transforms reactive processes into proactive strategies\, giving you the edge in efficiency\, precision\, and foresight. In a competitive market\, those who harness the power of AI aren’t just keeping up; they’re leading the charge\, carving out a future where every decision is informed\, every risk is mitigated\, and every operation runs like a well-oiled machine. Stay relevant. Stay powerful. Be the future. \nWho Should Attend\n\nSCM\, purchasing\, sourcing and supply management professionals\nSales contracting professionals\nContract lawyers and attorneys\nContract management professionals\nContract managers and administrators\nContract end-users who impact\, or are impacted by\, the contracting process – including Operations\, Project/Development team members\nFinance professionals involved in contracting\nContract negotiators\nOperational managers\nCommercial relationship managers\nProject managers\nRisk managers\nChange management leaders\n\nKey Learning Objectives\nUpon completing this online session\, participants will be able to: \n\nUnderstand how AI can automate repetitive tasks\, such as contract analysis and supply chain monitoring\, freeing up time for more strategic activities.\nAchieve greater accuracy\, as AI reduces human error in contract management and supply chain operations\, ensuring more accurate data and decision-making.\nManage risk with greater effectiveness by identifyingy potential risks and compliance issues in contracts and supply chains\, helping you proactively mitigate those risks.\nGenerate cost savings by optimizing processes and reducing errors.\nGain greater insights in analyzing large datasets – providing valuable insights and ensuring better decision-making.\nOperate more efficiently\, accurately\, and cost-effectively\, while also providing strategic advantages.\nAchieve excellence in your commercial relationships.\nRealize the full value and risk reductions that you have negotiated.\nDevelop and improve upon skills in a wide range of contracting and supply chain management practices.\nLearn how to drive greater value and innovation into subsequent contracting cycles with your commercial partners.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/mastering-ai-in-tenders-contracts/2025-02-18/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Contracts ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2025/01/AI-tenders-contracts-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250130 DTEND;VALUE=DATE:20250201 DTSTAMP:20260509T213958 CREATED:20251124T012237Z LAST-MODIFIED:20251124T041904Z UID:10002246-1738195200-1738367999@www.opuskinetic.com SUMMARY:Operational Technology Cybersecurity for Maritime Industry DESCRIPTION:Why Choose this Training Course\nMaritime organisations are becoming increasingly reliant on interconnected OT systems—navigation\, propulsion\, cargo handling\, port automation\, and critical onboard control systems. This digitalisation increases vulnerability to cyber incidents that can disrupt vessel operations\, compromise safety\, and lead to significant financial and reputational losses. \nThis OT cybersecurity maritime course provides a comprehensive understanding of OT cybersecurity within the maritime environment. Participants will learn how to identify cyber risks in shipboard and port systems\, implement layered defence strategies\, comply with IMO\, BIMCO\, and flag-state guidelines\, and design realistic incident response plans for maritime operations. Real-world maritime cyber cases\, threat actor techniques\, and practical exercises are included to strengthen operational readiness. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\n\nVessel superintendents & fleet managers\nPort and terminal operations teams\nMaritime cyber & IT/OT security personnel\nShipowners\, charterers & technical management teams\nClass society inspectors & compliance officers\nMarine engineers\, ETOs & shipboard officers\nMaritime consultants and auditors\n\nKey Learning Objectives\n\nUnderstand Maritime OT Ecosystems\n\nDifferentiate between IT vs OT in the maritime context\nUnderstand architecture of ECDIS\, AIS\, RADAR\, ICS/SCADA\, propulsion & machinery control systems\nExplore vulnerabilities in interconnected shipboard and port systems\n\n\nIdentify Maritime Cyber Threats\n\nRecognise typical attack vectors: spoofing\, jamming\, ransomware\, bridge system infiltration\nAnalyse past maritime cyber incidents and how attackers exploited OT systems\nUnderstand supply chain & onboard contractor risks\n\n\nApply Maritime Cybersecurity Standards & Regulations\n\nInterpret IMO Resolution MSC.428(98) Cyber Risk Managemen\nApply BIMCO Guidelines on Cyber Security Onboard Ships\nImplement flag-state and classification society requirements (ABS\, DNV\, LR)\nAlign OT security practices with IEC 62443\n\n\nStrengthen OT Security Posture\n\nConduct OT risk assessments for maritime systems\nApply network segmentation\, secure configurations & asset inventory management\nImplement monitoring & detection for OT environments\nUnderstand patching limitations and compensating controls for vessels\n\n\nDevelop Cyber Incident Response for Maritime Operations\n\nCreate a shipboard & port cyber incident response plan\nUnderstand crisis communication flow between vessel\, shore office & authorities\nConduct tabletop exercises involving cyberattacks to navigation or propulsion systems\nLearn best practices for recovery\, continuity & reporting\n\n\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/operational-technology-cybersecurity-for-maritime-industry/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Cybersecurity & OT Security,Management and Leadership Development,Marine and Offshore ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2025/11/OT-cybersecurity-fi1.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20241119 DTEND;VALUE=DATE:20241123 DTSTAMP:20260509T213958 CREATED:20240807T072507Z LAST-MODIFIED:20260309T032018Z UID:10000848-1731974400-1732319999@www.opuskinetic.com SUMMARY:Practical Data Science and Machine Learning for Oil & Gas Professionals DESCRIPTION:Why Choose this Training Course\nThis highly practical data science training course is designed to equip Oil & Gas professionals with a thorough introduction to essential machinlearning methods and a solid hands-on experience in data science and machine learning applications. \nThroughout this data science training\, participants will acquire comprehensive knowledge and develop practical skills necessary for integrating data science and machine learning into their daily work. By mastering these techniques\, participants will improve efficiency and effectiveness in both current and future projects\, ultimately leading to significant improvements in overall performance and substantial value creation for their companies. \nWho Should Attend\nGeologists\, petrophysicists\, reservoir engineers\, production engineers\, drilling engineers and other Oil & Gas professionals keen to obtain a fundamental understanding and practical skills in Machine Learning and Data Science. \nPrerequisite: \n\nParticipants should have strong upstream domain knowledge and at least 5 years of experience.\nPrior programming experience (Python) is an advantage. Recommended pre-reading material on Python can be provided upon request.\n\nKey Learning Objectives\n\nComprehensive Introduction: Gain a foundational understanding of both supervised and unsupervised learning algorithms\, including advanced topics such as deep learning and model explainability.\nHands-On Experience: Build practical skills through detailed\, step-by-step guidance on applying various machine learning methods to real-world Oil & Gas problems.\nConfidence Building: Start with simple\, clear explanations of each method\, gradually progressing to more complex applications and techniques.\nCapability enhancement: Learn how to implement the knowledge gained\, using carefully crafted code examples that can be directly applied to ongoing and future projects\, enhancing overall performance.\nBusiness impact assessment: Develop the ability to identify actual Oil & Gas industry challenges and solve them\neffectively by leveraging Machine Learning and Data Science methods.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/data-science-training-2/2024-11-19/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Reservoir Engineering ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2021/11/machine-learning-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20240821 DTEND;VALUE=DATE:20240824 DTSTAMP:20260509T213958 CREATED:20170623T064627Z LAST-MODIFIED:20251002T023316Z UID:10000182-1724198400-1724457599@www.opuskinetic.com SUMMARY:Advanced Petroleum Data Management - Geophysical & Wells DESCRIPTION:Why Choose this Training Course\nThis is a highly interactive course with multiple workshops where participants will create deliverables focused on their own company’s data management challenges and priorities. The focus is on subsurface digital data in the geophysical and well domains. It will be aligned with the unique challenges of operating in the Asia Pacific region such as having to liaise with external data stakeholders such as regulators\, National Oil Companies\, and joint venture partners. \nThe proof points in this course have been mapped from the Advanced Level of the public domain U.K. Oil and Gas Common Data Access (CDA) Competency Management System at https://www.cdacompetency.com/. The content will also be aligned with the Data Analyst Competency Profile and blueprint in the candidate handbook for the Professional Petroleum Data Management (PPDM) Certified Petroleum Data Analyst (CPDA) Examination. See: http://ppdm.org/certification. \nWho Should Attend\nThis geophysical data management training course is designed for professionals whose role is linked to data management and include job titles such as: \n\nE&P Data Managers\nData Executives/Engineers\nData Management Team Lead\nHeads of Data Management\nSeismic Data Engineers\nSubsurface Data Managers\nWell Data Managers\nPetroleum Data Managers\nData Application Specialists\nHead of Information Management\nHead of Knowledge Management\nHead of Upstream Systems\nHead of Information Strategy\nRecords Manager\nData/Information/Business/Technical Architect\n\nKey Learning Objectives\n\nPut in place systems and procedures for identifying\, describing and classifying internal and external digital data according to agreed standards.\nMonitor your organisation’s performance with respect to compliance internally and externally.\nSet-up and configure systems to archive data and ensure adequate metadata is captured for later retrieval.\nSelectively support\, monitor and report project activities by identifying the data management activities required.\nAbility to review a backup disaster recovery plan and determine its robustness.\nIdentify areas of stress/weakness and allocate resources\, implement processes and strategies to manage data asset through the exploit/use phase of the lifecycle.\nTroubleshoot data quality problems related to missing or insufficient standards.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/advanced-petroleum-data-management-geophysical-wells/2024-08-21/ LOCATION:Malaysia\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Oil/Gas/Petrochemicals ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2017/06/petroleum-data-fi1.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:4.210484;101.975766 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20240722 DTEND;VALUE=DATE:20240725 DTSTAMP:20260509T213958 CREATED:20231222T040026Z LAST-MODIFIED:20251124T042100Z UID:10001114-1721606400-1721865599@www.opuskinetic.com SUMMARY:Streamlining Business through Business Intelligence\, Artificial Intelligence & Big Data Analytics DESCRIPTION:Why Choose this Training Course\nParticipants will be able to use data accumulated in the organisation to provide valuable insights into future business decisions. This widens the job scope of the employees and creates potential for companies to enhance productivity. \nThis business intelligence training course differs from other training programs in the market as it is not vendor-specific. Instead of forcing attendees to fit the company into the BI tools ability\, Daan will teach participants on what to look out for when picking a BI tool that will best fit the company. On top of that\, the course aims to teach you the best practices to implement BI throughout the firm and to perform predictive analysis as well. The business intelligence training course will advice trainees on how to plan for\, create and sustain a BI framework within the company regardless of the tools currently used by the company. Participants will also be tutored on how to use the BIL framework to create exceptionally intelligent dashboards and predictive analysis that will essentially increase organizational performance. \nWho Should Attend\n\nBI managers\nIT managers\nBusiness Managers\nAnalytic Translators\nProject Managers\nIT & BI Consultants\nBusiness Data Scientists\nInformation Managers\nCIO\nCFO’s\nChief Data Officers (CDO)\n\nKey Learning Objectives\n• Key performance indicators & world-class intelligence\n• How to create world-class intelligence in your dashboards & reports?\n• AI & data leadership: case & steps to a successful implementation\n• Top BI & AI trends 2030\n• Business Intelligence & AI project management & governance\n• Artificial Intelligence & Data science\n• Data warehousing\, data lakes and tooling from a functional perspective\n• How to increase organizational Performance (Case Study) \nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/streamlining-business-through-business-intelligence-artificial-intelligence-big-data-analytics-2/2024-07-22/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data & Analytics,Big Data, AI & Cybersecurity,Corporate, Business Management and HR,Marine and Offshore,Oil/Gas/Petrochemicals,Project ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2020/12/business-intelligence-fi1.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20240522 DTEND;VALUE=DATE:20240523 DTSTAMP:20260509T213958 CREATED:20240320T072136Z LAST-MODIFIED:20250131T013513Z UID:10001693-1716336000-1716422399@www.opuskinetic.com SUMMARY:Mastering AI for Communication Efficiency DESCRIPTION:Why Choose this Training Course\n\n\n\n\n\n\n\n\n\n\nThis is a one-day AI efficiency training course. In an era where communication is paramount\, yet time is scarce\, Artificial Intelligence (AI) emerges as a powerful ally. The “Mastering AI for Efficiency’ – AI bootcamp” AI efficiency training is designed to unlock the potential of AI in enhancing communication efficiency and effectiveness. This course\, divided into two 3.5-hour modules\, guides participants through the landscape of AI tools and techniques that can revolutionise the way we create\, understand\, and engage with content and each other. From writing assistance to speech recognition and beyond\, discover how AI can transform your communication strategies\, making them more impactful and effortless. \n\n\n\n\n\n\n\n\n\n\nWho Should Attend\nThis AI efficiency training is suistable for all professionals wish to gain more confidence in using AI for efficient communication efforts. \nCareer Level: All career levels \nKey Learning Objectives\n\nGain an understanding of artificial intelligence and its role in modern communication.\nRecognize how AI technologies are transforming the landscape of digital communication.\nIdentify and explore a variety of AI tools for writing assistance\, speech transcription\, email and social communication.\nLearn practical applications of AI in creating engaging content\, including blogs\, articles\, and multimedia content.\nGain hands-on experience in integrating AI tools into personal and organisational communication strategies.\nUnderstand the ethical implications and considerations of using AI in communication.\nLearn strategies for responsible use of AI\, including maintaining human oversight\, ensuring data privacy\, and addressing bias in AI algorithms.\nEngage in interactive discussions and workshops to foster collaborative learning and innovation.\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/mastering-ai-for-efficiency-masterclass/2024-05-22/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Communications,Management and Leadership Development ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2024/03/AI-fi1.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220926 DTEND;VALUE=DATE:20220930 DTSTAMP:20260509T213958 CREATED:20181204T071753Z LAST-MODIFIED:20220719T033041Z UID:10000572-1664150400-1664495999@www.opuskinetic.com SUMMARY:Geophysical Data Management for Non-Geophysicists DESCRIPTION:Why Choose this Training Course\nThis is a 4-days geophysical data management training. Exploration and Production (E&P) companies realize the importance of good technical data and the role which it plays in the exploration success. Geoscientists and engineers focus on maximizing hydrocarbon extraction by understanding and exploiting field geological and formations data. To achieve their challenging goals\, they use sophisticated software to perform virtual field characterizations and analysis which generates terabytes of valuable intellectual data and information. This is one example\, and there are many more by which new data is being generated and stored each day. \nCompanies are investing into hardware and software to tackle these problems but lack the basic guidelines or policies to manage the growing data volume. This has led to even more problems and waste of valuable resources and funds. One of the key requirements for E&P companies is to have a well-defined data management strategy.  \nWho Should Attend\n\nUpstream personnel – understanding the life cycle\n\nData Management SME’s that want to understand Geophysical Data\n\nIT – Technology Change in an industry with legacy systems\n\nAdmin – Managing end to end work flow streams from acquisition to interpretation\n\nHR – Understanding the unique blend of geophysical data\, I.T. and Data Management\n\nNon-geoscience personnel – Understanding the scope\n\nKey Learning Objectives\n\nGeophysical Data Management life cycle\, why it is important\, understanding Data Acquisitions in terms of\nexploration\, production and life of field\n\nCore Geophysical data types in the E&P industry and valuable best practices for them\n\nCommon seismic activity using Gulf of Mexico as a case study\n\nBig Data\, the cloud\, managing Petabytes of data\, key factors\, structure\, workflow\, access\, timing\n\nBusiness Intelligence maturity modelling in the Oil and Gas industry\n\nLimitations and challenges with Geophysical Data – specific esoteric nature of managing signal binary\ndata types\n\nBeing familiar with industry data standards\n\nGlobal Opportunities – Market Size – Players\n\nTechnology Challenge – Data Analytics and AI\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/geophysical-data-management-for-non-geophysicist-2/ LOCATION:Virtual Instructor Led Training (VILT) CATEGORIES:Big Data, AI & Cybersecurity,Geology,Oil/Gas/Petrochemicals ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2018/12/Geo01.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220725 DTEND;VALUE=DATE:20220730 DTSTAMP:20260509T213958 CREATED:20220615T070850Z LAST-MODIFIED:20220623T042249Z UID:10000944-1658707200-1659139199@www.opuskinetic.com SUMMARY:TUV Rheinland Fundamentals of Cyber Security T262 DESCRIPTION:Why Choose this Training Course\nThe aim of this TUV cyber security training course is to learn the fundamental principles for cyber security in the context of the management\, technical\, specification\, design\, operation and maintenance requirements of Industrial Automation Controls Systems (IACS). \nCourse attendance is open to all interested parties and achieving the threshold mark for the examination will result in the candidate receiving a “TÜV Rheinland fundamentals of cyber security” examination certificate. \nWho Should Attend\nThis TUV cyber security training is targeted to engineers\, managers\, consultants and specialists who require a general introduction and awareness to the relevant industry cyber security requirements standards and the networking technology and communication principles from within the following process industry user groups: \n\nAsset owner / end user\nEngineering contractors / EPCs\nPower and automation system integrators\nService providers\nProduct manufacturers\n\nThe course is particularly useful for those managers and engineers who may be directly or indirectly\, involved in executing projects and/or operating and maintaining such IACS requirements covering the entire security and cyber security lifecycle in accordance with IEC 62443 and other relevant industry guidance\, with a particular focus on physical and cyber security technical lifecycle management. \nKey Learning Objectives\n\nDescribe the principles of security and cyber security management and the key features of Industry standards and technical reports\nUnderstand the fundamentals of industrial communication networks and relevant technology\nUnderstand the requirements for communication protocols\, routing and segmentation\nAppreciate the key requirements for countermeasures\, design\, operations & maintenance regarding cyber security lifecycle phases\, roles and responsibilities\nUnderstand the requirements for organisational security\, business impact\, planning and recovery in terms of policy\, procedures\, guidelines and competency requirements\nUnderstand the requirements for proper inspection\, operation\, maintenance and modification of installed cyber security measures as required by several safety & security standards\n\nEnquiry Form or Register Directly\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/tuv-rheinland-fundamentals-of-cyber-security-t262/ LOCATION:Singapore\, Singapore CATEGORIES:Big Data, AI & Cybersecurity ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2022/06/cybersecurity-FI.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220623 DTEND;VALUE=DATE:20220625 DTSTAMP:20260509T213958 CREATED:20211126T073322Z LAST-MODIFIED:20251124T041928Z UID:10001291-1655942400-1656115199@www.opuskinetic.com SUMMARY:Cybersecurity for Energy & Utilities Certification DESCRIPTION:Why Choose this Training Course\nEnergy\, Power & Utilities companies are increasingly aware of the threats that can arise from cyber-related attacks and disruptions. Putting cybersecurity at the core of energy & utilities operations will be critical for the industry to fulfil their core mandate of delivering reliable energy & power to the market. Being able to effectively integrate effective cyber security strategy within your security infrastructure will be hugely critical of having a robust plan to counter cyber threats. \nFrom risk identification to scenario assessment\, from information security management to vulnerability assessment and security architecture development\, this course covers in breadth and depth all the relevant aspects of information security risk assessment and cyber threats relevant to the energy\, power and utilities industry in mitigating cyber risks\, building cyber resilience and enhancing information security risk assessment. \nThis cybersecurity oil and gas training will provide power\, electricity\, energy & utilities company attendees with the tools and know-hows of how to plan and strategically develop a cybersecurity strategy. Through applications on real cases\, lessons learned from case studies\, project exercise discussions and blueprint strategies and techniques\, attendees will find out how they can overcome pertinent challenges to cybersecurity management whilst practically ensure that they develop the required security architecture and technology to counter cyber\nrisks and threats. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\nThis cybersecurity oil and gas training is designed for heads\, managers\, engineers\, specialists and executives from across energy\, power & utilities companies who are responsible and/or involved in the following: \n\nCyber Security\nCyber Risk Management\nSystems\nIT/Information Infrastructure\nInformation Security\nTechnology\nEnergy Infrastructure\nEngineering\nTransmission & Distribution\nSmart Grids\nSCADA Systems\n\nKey Learning Objectives\n\nPlan and implement an effective cyber security strategy and program\nEnhance vulnerability assessment and management for your security operations\nRisk management – implement strategies and techniques which can be integrated your current strategy\nSecurity infrastructure hardening – best practices and proven techniques\nUnderstand how you can manage your cybersecurity vendors and leverage the most suitable solution for your business objectives\nImprove your security architecture design and management\nLearn from recent cyber-attack incidents globally and find out how you can prefer similar incidents\nImprove security network penetration and application security testing\nLearn how to roll out effective cybersecurity policies\, procedures and frameworks\nBe engaged in project exercises which equip you with practical tips and advice on how you can plan and implement an effective strategy when you return to your organization\n\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/cybersecurity-for-energy-utilities-certification-4/2022-06-23/ LOCATION:Singapore\, Singapore CATEGORIES:Big Data, AI & Cybersecurity,Cybersecurity & OT Security,Oil/Gas/Petrochemicals ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2021/11/cybersecurity-fi1-1.png ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:1.352083;103.819836 END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20220613 DTEND;VALUE=DATE:20220617 DTSTAMP:20260509T213958 CREATED:20211203T062247Z LAST-MODIFIED:20240806T104350Z UID:10001379-1655078400-1655423999@www.opuskinetic.com SUMMARY:Practical Python Programming for Upstream Professionals DESCRIPTION:Why Choose this Training Course\nThis highly practical Python programming training course aims to provide upstream professionals with a comprehensive introduction to scientific programming in Python and scientific programming. Participants will get the necessary skills and knowledge of the main libraries for data wrangling (Pandas\, SQL)\, data visualization (matplotlib\, seaborn)\, numerical optimization and other topics allowing them to solve a large number of practical problems from the upstream domain and understand advanced topics of data science and machine learning in the accompanying course “Applied Data Science and Machine Learning for Upstream Professionals”. \nWho Should Attend\nA reservoir engineer\, geologist or petrophysicist\, and keen to obtain a fundamental understanding and practical knowledge of scientific programming (Python) and be prepared for advanced topics of data science and machine learning in the accompanying course “Applied Data Science and Machine Learning for Upstream Professionals”. \n– Participants should have strong upstream domain knowledge with a minimum of 5 years experience.\n– Prior programming experience (Python) is an advantage. Recommended pre-reading material on Python can be provided upon request. \nKey Learning Objectives\n\nCOMPREHEND the scientific programming in Python\nACQUIRE the necessary skills and knowledge of the main libraries for data wrangling\, data visualization\, numerical optimization and other topics\nSOLVE a large number of practical problems from the upstream domain\nUNDERSTAND advanced topics of data science and machine learning\n\nEnquiry Form\n\n \n \n SalutationMr.Ms.Miss.Mrs.Mdm.Dr.Prof.Capt.-Name*\n \n \n \n First\n \n \n \n \n Last\n \n \n Phone*Email*\n \n Company*Current Location* \n \n \n AfghanistanAlbaniaAlgeriaAmerican SamoaAndorraAngolaAnguillaAntarcticaAntigua and BarbudaArgentinaArmeniaArubaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBonaire\, Sint Eustatius and SabaBosnia and HerzegovinaBotswanaBouvet IslandBrazilBritish Indian Ocean TerritoryBrunei DarussalamBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCayman IslandsCentral African RepublicChadChileChinaChristmas IslandCocos IslandsColombiaComorosCongoCongo\, Democratic Republic of theCook IslandsCosta RicaCroatiaCubaCuraçaoCyprusCzechiaCôte d'IvoireDenmarkDjiboutiDominicaDominican RepublicEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEswatiniEthiopiaFalkland IslandsFaroe IslandsFijiFinlandFranceFrench GuianaFrench PolynesiaFrench Southern TerritoriesGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGreenlandGrenadaGuadeloupeGuamGuatemalaGuernseyGuineaGuinea-BissauGuyanaHaitiHeard Island and McDonald IslandsHoly SeeHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsle of ManIsraelItalyJamaicaJapanJerseyJordanKazakhstanKenyaKiribatiKorea\, Democratic People's Republic ofKorea\, Republic ofKuwaitKyrgyzstanLao People's Democratic RepublicLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacaoMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMartiniqueMauritaniaMauritiusMayotteMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMontserratMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew CaledoniaNew ZealandNicaraguaNigerNigeriaNiueNorfolk IslandNorth MacedoniaNorthern Mariana IslandsNorwayOmanPakistanPalauPalestine\, State ofPanamaPapua New GuineaParaguayPeruPhilippinesPitcairnPolandPortugalPuerto RicoQatarRomaniaRussian FederationRwandaRéunionSaint BarthélemySaint Helena\, Ascension and Tristan da CunhaSaint Kitts and NevisSaint LuciaSaint MartinSaint Pierre and MiquelonSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSint MaartenSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth Georgia and the South Sandwich IslandsSouth SudanSpainSri LankaSudanSurinameSvalbard and Jan MayenSwedenSwitzerlandSyria Arab RepublicTaiwanTajikistanTanzania\, the United Republic ofThailandTimor-LesteTogoTokelauTongaTrinidad and TobagoTunisiaTurkmenistanTurks and Caicos IslandsTuvaluTürkiyeUS Minor Outlying IslandsUgandaUkraineUnited Arab EmiratesUnited KingdomUnited StatesUruguayUzbekistanVanuatuVenezuelaViet NamVirgin Islands\, BritishVirgin Islands\, U.S.Wallis and FutunaWestern SaharaYemenZambiaZimbabweÅland Islands\n Country\n \n \n How many people are you looking at?1 - 2 Standard Rates3 - 5 Group Discount>10 In-House Training\, Huge Savings!Undecided\, need more informationThis is just an approximate number. You can finalise it when you send in the registration form.\n \n Send me brochure\n Comments:CAPTCHA URL:https://www.opuskinetic.com/training/practical-python-programming-for-upstream-professionals/2022-06-13/ LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia CATEGORIES:Big Data, AI & Cybersecurity,Geology,Reservoir Engineering ATTACH;FMTTYPE=image/jpeg:https://www.opuskinetic.com/wp-content/uploads/2021/12/python-fi1-scaled.jpg ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com GEO:3.1384965;101.7099933 END:VEVENT END:VCALENDAR