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The roadmap for the energy sector as it embraces AI

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Manage episode 521442772 series 3021343
Content provided by S&P Global Commodity Insights and P Global Commodity Insights. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by S&P Global Commodity Insights and P Global Commodity Insights or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

491 episodes

Artwork
iconShare
 
Manage episode 521442772 series 3021343
Content provided by S&P Global Commodity Insights and P Global Commodity Insights. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by S&P Global Commodity Insights and P Global Commodity Insights or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

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.

  continue reading

491 episodes

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