AI in Action: Practical Applications for Electric Utilities
This webinar was originally held on March 25, 2026 and is now available for on demand viewing.
Duration: 1 hour
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Summary
Gain clarity on real‑world AI/ML use cases for improving grid reliability, resilience, asset performance, and operational excellence.
This session will offer utilities an industry-oriented overview of the practical benefits artificial intelligence (AI) and machine learning (ML) can deliver. We will examine real-world use cases and common industry challenges, including asset management, vegetation management, and workforce optimization, and demonstrate how technology solutions deliver tangible value.
In this session, you will:
- Understand the current landscape of AI/ML in electric utilities.
- Identify and evaluate real-world use cases where AI/ML can provide tangible benefits for electric utilities.
- Apply a structured framework for AI-powered solutions—considering human-centered design principles and organizational readiness.
Don’t miss this exciting discussion on when and how to apply AI solutions to ensure your investments are targeted, strategic, and effective.
Register today!
Speakers
Carlos Elena-Lenz
VP, Digital Enablement & Transformation, North America
Hitachi Energy
Carlos focuses on providing customers with the consultative & domain expertise to access the full breadth of Hitachi’s digital services & products for the energy domain. Success means enabling electric utility customers to realize their digital projects and transformation initiatives. His cross-disciplinary expertise across software engineering, management consulting, and strategic design makes him uniquely adept at driving digital solution development and delivery. His current areas of focus include: utility analytics (AI/ML), organizational change for digital transformation, advanced simulation and modeling of grid operations, and application of real-time and predictive analytics for grid operations and maintenance.
Yu Zhang
Principal Solution Architect
Hitachi Energy
Yu Zhang is a Principal Solution Architect at Hitachi Energy. He holds a Master of Philosophy in Computer Science and is a Certified Microsoft Azure Solutions Architect & Developer as well as a Certified Maintenance and Reliability Professional (CMRP). Yu brings over 20 years of experience in Enterprise Asset Management (EAM), Asset Performance Management (APM), and machine learning applications within the utilities sector. In recent years, his focus has expanded to leveraging AI technologies to help utility customers enhance productivity, improve asset insights, and drive operational excellence.
Matt Ou
Global Product Manager, Asset & Work Management
Hitachi Energy
Matt Ou helps utilities translate field reality into user-centered, data-driven workflows across dispatch and field crews. At Hitachi Energy, he focuses on product planning and portfolio strategy for field operations, bringing together leading GIS capabilities, remote sensing technologies, and domain-specific AI models to help customers solve their work management problems. Matt collaborates closely with customers and cross-functional teams to turn frontline insights into scalable capability.
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