In the modern utility landscape, the industry has been characterized by a flurry of pilot programs, from small-scale, highly controlled experiments designed to test the potential of Artificial Intelligence and Machine Learning. It has been proven AI can predict transformer failures, identify anomalies in substation telemetry, and forecast load with startling accuracy. Unfortunately, many of these successes remain trapped in pilot purgatory, which means it is unable to scale into mission-critical, enterprise-wide operations.

Additionally, the utility sector is built on a century-old culture of zero-fail reliability, and the introduction of black-box AI can be met with significant skepticism in high-stakes environments. Solving these challenges requires a harmony between IT, operations, and engineering that few organizations have yet mastered. By moving beyond the pilot phase and treating data science as a core operational capability, utilities can transform into predictive, responsive organizations that are prepared for the complexities of the 2030 grid.

Presenters to be announced!