Moving from reactive operations to predictive AI starts with trusted data.

In this episode of Technovation, Peter High speaks with Ajay Waghray, EVP and Chief Information Officer of PG&E, about the technology, data, process, and people transformation behind the company’s shift toward more predictive and proactive operations.

Waghray explains how PG&E combines trusted asset, weather, environmental, sensor, and smart-meter data to support continuous monitoring and AI-driven decision-making. He shares how these capabilities have helped avoid 19 million outage minutes, prevent 28 potential ignitions, and eliminate more than 5,000 emergency response hours.

The conversation also explores PG&E’s three-pillar AI strategy, foundation, democratization, and execution, and why cybersecurity, responsible AI, and standardized processes must advance together.

Listen to the full episode to hear how PG&E is building the foundation for predictive AI at enterprise scale.

This episode is presented by Tines — Freedom to build. Complete security. No compromises. Learn more at tines.io

This episode is also presented by Retool — Build internal software better, with AI. Learn more at retool.com

PG&E CIO Ajay Waghray on Building Trusted Data for Predictive AI

Technovation with Peter High (CIO, CTO, CDO, CXO Interviews)

PG&E CIO Ajay Waghray on Building Trusted Data for Predictive AI