Leveraging Next Level AI Analytics to Reduce Energy Emissions
Digital transformation is regularly cited as key to improving operational efficiencies across the energy chain. These efficiencies save money and time, of course, but they also drive down energy consumption and GHG emissions. Many of these improvements have their origin in AI-powered analytics and machine learning. What is the next level of impact that we can expect from these capabilities in driving down emissions? Where are we in terms of creating and deploying AI specifically to target emissions? What successes—and disappointments—are we seeing? To what extent can that impact come from greater use of existing capabilities versus new ones? What digital infrastructure and people skill barriers need to be overcome to achieve that impact?