AI, Data and Strategy: SoCalGas’ Journey to Smarter Asset Management
Operating more than 100,000 miles of pipeline, SoCalGas is using data, analytics and machine learning to make smarter asset investment decisions. In this exclusive case study, company leaders share how they are moving from reactive maintenance to risk-based planning while preparing the foundation for AI at scale.
Download the report to discover how SoCalGas:
- Prioritizes pipeline replacement using quantitative risk modeling
- Uses machine learning to make more objective capital investment decisions
- Builds trusted asset data foundations for predictive analytics and AI
- Overcomes data quality and integration challenges across legacy systems
- Creates organizational buy-in for data-driven decision making
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