SoCalGas has a goal of decreasing controllable motor vehicle incidents by 10% from its best year ever. To achieve this, an internal team is developing machine learning technology to feed a coaching tool that supports supervisor’s discussions with field employees to drive safely. The scope includes all field organizations that utilize a company vehicle, over a dozen environments of internal and external data and 5 years of history. Given the scope, scale and size of this effort, a strong change management plan is just as important as the data science itself.
- Learn the current adoption and coaching tool outcomes • Understand the importance of Change Management in large-scale data science efforts
- See a dashboard demo used to measure and improve success
- Gain knowledge of lessons learned, and future use cases using the tool
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