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:20250519
DTEND;VALUE=DATE:20250522
DTSTAMP:20260526T005455
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 \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:20250521
DTEND;VALUE=DATE:20250523
DTSTAMP:20260526T005455
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:20250522
DTEND;VALUE=DATE:20250523
DTSTAMP:20260526T005455
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:20250526
DTEND;VALUE=DATE:20250528
DTSTAMP:20260526T005455
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:20250528
DTEND;VALUE=DATE:20250530
DTSTAMP:20260526T005455
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
END:VCALENDAR