Andy Quick

Chief AI Officer Entergy

Andy Quick has been with Entergy for 28 years and is currently Vice President, Chief AI Officer. He leads an organization focused on developing the strategy for artificial intelligence at the company and helping to solve major business problems with AI solutions. Andy has held leadership roles in in many departments including data analytics, led many departments held many different leadership roles including serving as Vice President, Business Data & Insights, where he led an advanced data analytics team and before that, he worked as a product owner at KeyString Labs, Entergy’s innovation incubator for new products and services. Andy has led many other departments including robotic process automation, business transformation, enterprise architecture, telecommunications, data center operations, outsourcing relationship management, and two business unit CIO organizations. Prior to joining Entergy, Andy worked for Andersen Consulting (Accenture) where he was an IT consultant for global, multi-industry companies. Andy has served as an adjunct instructor at Tulane University and University of New Orleans where he taught robotic process automation courses. Andy’s robotic process automation online course, currently offered on Udemy, has an enrollment of over two thousand students from seventy-six countries. Andy holds a B.S. in computer science from Louisiana State University and an MBA from Tulane University. Andy is a certified Automation Anywhere RPA trainer and the winner of the inaugural Automation Anywhere Bot Games competition in 2018.

Main Conference Day 2 - February 25, 2025

8:10 AM Case Study: Building an AI Function from Scratch at Entergy

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

Check out the incredible speaker line-up to see who will be joining Andy.

Download The Latest Agenda