AI, Data and Strategy: SoCalGas’ Journey to Smarter Asset Management

AI, predictive analytics and modern planning tools are reshaping utility asset management, yet scaling their impact remains challenging. SoCalGas is tackling this by strengthening its asset data foundation, building long‑term investment strategies and shifting from reactive fixes to proactive, risk‑based decisions. Leading the effort, Vida Gholami, Data Foundation and Analytics Manager and Maya Menon, Asset and Data Strategy Manager are modernizing data governance, aligning planning with regulatory and decarbonization goals and deploying advanced analytics, from machine learning to digital twins, to drive faster, smarter and more transparent decisions.

In this exclusive interview, you will learn how:

• SoCalGas is moving from reactive to proactive asset management through stronger governance, predictive analytics and long term planning frameworks
• High quality asset data, integrated systems and risk based models enable defensible capital decisions
• Machine learning, optimization engines and predictive models are already improving capital planning and risk reduction
• SoCalGas is overcoming cultural barriers to scale analytics and AI enterprise wide
• Digital twins, IoT, edge computing and prescriptive analytics will shape the next decade of intelligent asset management at SoCalGas