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DTSTART;VALUE=DATE:20261012
DTEND;VALUE=DATE:20261015
DTSTAMP:20260807T201643
CREATED:20260804T081220Z
LAST-MODIFIED:20260804T082010Z
UID:10002585-1791763200-1792022399@www.opuskinetic.com
SUMMARY:Applied AI For Supply Chain Management in Energy Industry
DESCRIPTION:Why Choose this Training Course\nAs the global energy sector evolves through digitalization and decentralization\, AI for supply chain optimization has become a key competitive advantage. This course provides a comprehensive roadmap for integrating AI for supply chain solutions\, strategy\, and proposal development within the energy industry. Participants will examine core applications—including predictive maintenance\, demand forecasting\, logistics automation\, and risk mitigation—through real-world case studies and practical tool demonstrations. By combining technical insight with strategic framework design\, learners will gain the skills needed to pitch high-value\, data-driven supply chain proposals to key decision-makers. \nWe are also a proud member of the Energy Institute of UK. \nWho Should Attend\n\nSupply Chain & Logistics Manager / Director\nProcurement & Sourcing Specialist\nOperations\, Maintenance\, or Project Engineer\nSupply Chain Analyst & Demand Planner\nProposal Engineer / Business Development Executive\nDigital Transformation Manager / AI Project Lead\nData Analyst / Operations Researcher\nEnergy & Management Consultant\nAsset Integrity & Logistics Coordinator\n\n  \nKey Learning Objectives\n\nExplore how machine learning\, predictive analytics\, and optimization algorithms optimize energy supply chains.\nIdentify operational inefficiencies in energy management and match them with actionable AI solutions.\nExamine proven AI implementations across energy logistics\, asset tracking\, procurement\, and demand planning.\nLeverage industry-standard AI platforms to build functional dashboards\, forecast models\, and decision-making tools.\nDeliver structured\, client-ready proposals that clearly translate AI capabilities into business ROI.\nEvaluate data privacy\, system limitations\, and ethical considerations in high-risk energy deployment environments.\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/applied-ai-for-supply-chain-management-in-energy-industry/
LOCATION:Kuala Lumpur\, Federal Territory of Kuala Lumpur\, Kuala Lumpur\, Malaysia
CATEGORIES:Big Data, AI & Cybersecurity,Logistics and Supply Chain
ATTACH;FMTTYPE=image/png:https://www.opuskinetic.com/wp-content/uploads/2026/08/supplychainAI-fi1-scaled.png
ORGANIZER;CN="Opus Kinetic Pte Ltd":MAILTO:info@opuskinetic.com
GEO:3.1384965;101.7099933
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