The adoption of AI among energy and shipping companies is growing steadily. While it's helping to cut operational costs, boost productivity, and reduce emissions, a shortage of skills, data integration complexity, and trust are posing some challenges. In exploration, AI is helping to analyze complex sub-surface data and improve success rates. In midstream logistics, it is helping to optimize complex route planning and lastly; by deploying AI across refinery operations, oil companies are achieving higher yields in high-value fuels while cutting energy use.

In this episode, Asia Energy Editor Sambit Mohanty discusses with Dave Ernsberger, president of S&P Global Energy, and Arun Biswas, strategic engagements leader at IBM Consulting for Asia-Pacific, some of the themes around AI's ability to influence how energy is produced, traded, and distributed in the years ahead.