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

Session Sponsored by Sensus, Xylem