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:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261012
DTEND;VALUE=DATE:20261015
DTSTAMP:20261108T210337
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                        URLThis field is for validation purposes and should be left unchanged.Company(Required)Name(Required)\n                            \n                            \n                                                    \n                                                    First\n                                                \n                            \n                            \n                            \n                        Email(Required)\n                            \n                        Phone(Required)\n			\n				\n					\n						\n						\n							\n							\n						\n						Country\n					\n					\n						\n						\n						Phone Number\n					\n				\n				\n					\n						\n					\n					\n						\n					\n					\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.Comments:I would like to request for brochure with the registration form.CAPTCHA\n         Submit
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
END:VEVENT
END:VCALENDAR