How SoCalGas Is Transforming Asset Management with AI and Data-Driven Decisions
In this exclusive case study, senior leaders from SoCalGas, operating over 100,000 miles of pipeline, share how they are building a data-driven, AI-enabled asset management strategy to improve decision-making, prioritise investment and reduce operational risk.
In this report, discover how SoCalGas:
- Moves from reactive maintenance to proactive, risk-based asset planning
- Uses machine learning to optimize capital investment decisions
- Prioritizes pipeline replacement using data-driven risk modeling
- Overcomes data quality, integration and AI adoption challenges at scale
- Builds trust in data and analytics across operational teams
Addressing key challenges including fragmented data, lack of trust in analytics and scaling AI across the enterprise.
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