BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Opus Kinetic - ECPv6.15.12.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Opus Kinetic 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:20240101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20251103 DTEND;VALUE=DATE:20251105 DTSTAMP:20260422T033436 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 \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:20251110 DTEND;VALUE=DATE:20251112 DTSTAMP:20260422T033436 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:20251127 DTEND;VALUE=DATE:20251129 DTSTAMP:20260422T033436 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 END:VCALENDAR