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- Amish Sabharwal
The world is pursuing a lower-carbon energy mix with great intent and energy companies are grasping new opportunities that encompass much more of the energy value chain than old business models, including closer engagement with end-use customers. Headwinds exist in the form of high costs, the pace of change and ever-changing regulatory burdens. All companies are embracing digitalization and artificial intelligence (AI) seems set to have a significant role in a rapidly changing, data-intense energy value chain. How might AI help unlock new and enhanced opportunities? What methods can help manage the mix of weather-dependent renewable energy and traditional energy sources to ensure low-carbon reliable supplies? How can we navigate and derive advantages from the new proximity between producers and end-users to drive efficiency and reduce cost? What risks or challenges remain to be mitigated or solved in applying AI to energy production? How quickly can we overcome them?