How Utilities Can Leverage AI to Reduce OpEx Costs | Experts

Event Overview

Many utility companies are unsure about how to leverage AI, as its application to grid operations is still unclear. However, this shouldn't prevent companies from starting their AI journeys. In this episode of WWT Experts, industry director for utilities and energy Adam Nathan talks with chief technology advisor Rich Kropfl about low-risk AI use cases that can dramatically reduce operational costs.

Featured Speaker

Adam Nathan

World Wide Technology

Industry Director - Utilities and Energy

A highly analytical, intellectually curious leader with a passion for helping organizations prioritize business needs, align them with business and technology solutions, and ultimately achieve transformative goals. Being motivated by driving transformation that positively impacts society, I am passionate about modernizing the Utility and Energy industries, the foundation of societal operations.

What to expect

This episode of WWT Experts is part of a four-part series focused on how the evolving IT and OT landscapes are reshaping the utilities industry. Episodes are published exclusively for registered users of the wwt.com platform. The series will cover:

Low-risk AI use cases that can reduce OpEx costs
The benefits of programmatic asset lifecycle management
Strategies to defend against evolving cyber threats
Maturing OT networks to support future business needs

Goals and Objectives

Share examples of how WWT clients are using AI to reduce backend operational expenses; provide guidance on how utilities can start experimenting with AI given long adoption cycles; discuss strategies IT teams can use to identify workflow inefficiencies and opportunities for AI collaboration with lines of business; outline best practices for AI pilot projects.

Who should attend?

Executives, directors and managers looking to understand AI opportunities and develop strategies for adoption; IT leaders and staff responsible for identifying new technologies, piloting solutions, and supporting lines of business; operations managers overseeing areas like grid planning, compliance, vegetation management and other functions that could be optimized with AI.

Presenters

Rich Kropfl