In this session, Exelon will explore how its award-winning analytics team is pioneering the use of generative AI technology to materialize novel capabilities across various organizational functions within the utility's operating companies. Generative AI, with its capability to synthesize information, execute agentic commands, and easily process natural-language input, is providing unprecedented capabilities that enhance decision-making, operational efficiency, and customer satisfaction to utilities that are willing to experiment.

The discussion will cover:

•  Generative AI Use Cases:
  1. GasGPT: An interactive LLM-powered chatbot that helps Baltimore Gas & Electric engineers research gas engineering queries and surface relevant information
  2. VICTOR: A training program that uses an LLM to simulate customer conversations for customer service representatives (CSRs) to practice their skills and knowledge
  3. Electrical distribution standards engineering assistant: Using large multi-modal models such as GPT-4V and GPT-4o to process questions related to standard drawings
  4. Agentic AIs: Embuing generative AI systems with the capability to execute actions on behalf of users with only natural language queries as input.
• Generative AI stack choices and lessons learned evaluating/developing potential use cases
• Suggested frameworks for building generative AI capabilities within utilities

By attending this session, participants will gain a comprehensive understanding of the practical applications of Generative AI in the utility sector and learn how to implement similar strategies within their own organizations.