2026 Event Schedule

Electric utilities are data rich but insight poor, often requiring complex SQL queries or static dashboards to answer operational questions. This session explores a technical framework for Cognitive Engineering, bridging the gap between utility operators and their data. We'll demonstrate how Generative AI can be safely anchored to a Unified Utility Data Model (aligned with IEC 61968) to translate natural language into precise analytical intent.

Key Takeaways:

• The Architecture of Trust: Building a "Cognitive Layer" that translates natural language ("Show me transformers exceeding 80% load") into executable SQL without hallucination
• Data Unification: Mapping AMI, SCADA, and GIS data into a single schema for cross-domain querying
• Case Study: Reducing time-to-insight for grid operations from hours to seconds using GenAI

Co-Presenters: 

Chuck Ray, Director of Partner Sales, Bidgely

Chuck Ray helps utilities leverage behind-the-meter intelligence, DER insights, and AI‑driven customer engagement to advance grid modernization. At Bidgely, he works closely with utility partners to unlock value through energy disaggregation, DER orchestration, and next-best-action analytics.

Ian Duff, Product Manager, Xylem Sensus

Ian Duff brings deep technical expertise in AMI systems, distributed intelligence, and utility data integration. His work focuses on delivering interoperable platforms that unify data across metering, grid, and customer domains.

Session Sponsored by Sensus, Xylem