Bridging the Trust Gap: Transitioning from Energy Seller to Personalised Advisor
In this keynote, Nipun Jain explores how utilities can overcome the "Triple Squeeze" of hyper-volatility and new DER loads by pivoting toward an AI-driven advisor model. By transforming raw smart meter data into actionable intelligence, utilities can solve the paradox of green abundance where consumers often pay more despite negative market pricing.
The video outlines three critical use cases: deep energy profiling for asset detection, shifting from generic marketing to personalised savings advisory and gamifying the "Duck Curve" to drive flexible behavior change. Jain also introduces the next frontier: Agentic AI, which moves beyond predictive insights to automatically optimise charging schedules and maximise consumer savings without decision fatigue.
