July 14-16, 2025 | Minneapolis, MN

Artificial intelligence

Artificial intelligence is transforming the electric utility landscape. From customer engagement to asset management, internal operations, and data management, AI is allowing utilities to efficiently and effectively meet the evolving needs of the energy transition. This topic will unpack how electric utilities are utilizing AI throughout the organization, both in the field and the c-suite.

Artificial intelligence opportunities

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9:45 AM
  1. Lakeshore B
    45 mins
    Leading utilities are already on the path of integrating and applying generative AI within their organizations. The discussion aims to uncover the experiences, insights, and challenges associated with …
10:45 AM
  1. Nicollet Ballroom D
    45 mins
    Idaho National Laboratory (INL) has developed a comprehensive infrastructure analysis approach that assesses critical systems, interdependencies, and failure impacts to help utilities strengthen resil …
  2. Nicollet Ballroom A-C
    45 mins
    In an era where data is driving operational excellence and strategic innovation, how are leading utilities like Xcel Energy navigating the path to becoming truly data-driven organizations? Join this d …
11:45 AM
  1. Knowledge Hub Stage: Exhibit Hall
    45 mins
    As utilities face shrinking vegetation management budgets, the pressure to adopt new technologies—from satellites and AI to machine learning and predictive modeling—has never been greater. But with an …
1:45 PM
  1. Nicollet Ballroom A-C
    45 mins
    The California Independent System Operator (CAISO) performs many essential tasks to administer energy markets and ensure grid reliability. Although there was significant discussion about the potential …
9:45 AM
  1. Lakeshore A
    45 mins
    As data centers proliferate, energy consumption is driving the need for additional power generation solutions. Utilities play a crucial role in providing sufficient energy to these data centers throug …
12:30 PM
  1. Lakeshore A
    45 mins
    Ensuring precise network model connectivity, accurate customer mapping, and correct phasing is essential for a successful Advanced Distribution Management System (ADMS) implementation. However, these …