Learn how Entergy is investing in Artificial Intelligence at scale and the lessons it has learned in the rapid development and expansion of their AI function. In this insightful case study Energy’s Chief AI Officer Andy Quick will share details on the journey including:

● Leveraging AI with advanced metering infrastructure to predict when distribution transformers are likely to fail ● Enabling proactive maintenance that prevents unplanned outages

● Building out and defining the AI function, beginning in 2023, and how AI is positioned internally today

● Developing an enterprise AI strategy that balances value, capability, and risk

● Determining which of the use cases across the value chain to pursue - and which not to

● Approaching the conundrum of centralised or decentralised model, CoE or federated, in-house or outsourcing