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AI Strategy & Governance Frameworks for Electric Utilities

AI Strategy & Governance Frameworks for Electric Utilities

Turn AI Opportunities into a Strategy Your Utility Can Execute

December 3, 2026 Online :: Central Time

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Move beyond AI experimentation and build a practical strategy for responsible AI adoption across your utility.

Electric utilities face growing pressure to use artificial intelligence to improve operational efficiency, grid reliability, forecasting, and asset management. Identifying promising applications is only the first step. Without clear priorities, effective governance, and a plan to manage risk, AI initiatives can stall before delivering any meaningful value.

This one-day course gives utility professionals a practical framework for moving from AI opportunities to implementation. Discover how to identify high-value use cases, align AI investments with business and grid modernization priorities, and establish governance structures that address cybersecurity, regulatory compliance, data quality, and operational risk.

Register today to examine how to prioritize AI initiatives, define accountability and oversight, assess governance readiness, and build a roadmap for scaling AI responsibly across your organization.

Learning Outcomes

  • Prioritize AI opportunities across utility operations, asset management, forecasting, and grid modernization based on business value, feasibility, and risk.
  • Develop an actionable AI strategy that aligns technology investments with organizational goals, operational needs, and grid modernization priorities.
  • Establish effective AI governance by defining decision-making authority, accountability, oversight responsibilities, and policies for responsible AI use.
  • Assess and manage AI risks related to cybersecurity, data quality, model performance, operational reliability, safety, and regulatory compliance.
  • Integrate AI governance with existing cybersecurity, data governance, and risk management programs.
  • Build an implementation roadmap for assessing governance maturity, setting priorities, and scaling AI adoption responsibly across the utility.

Register

Please Note: This event is being conducted entirely online. All attendees will connect and attend from their computer, one connection per purchase. For details please see our FAQ

If you are unable to attend at the scheduled date and time, we make recordings available to all attendees for 7 days after the event

REGISTER NOW FOR THIS EVENT:

Individual attendee(s)$ 995.00 each(early bird rate)
(price after November 20, 2026 is $ 1,095.00)
Volume pricing also available

Individual attendee tickets can be mixed with ticket packs for complete flexibility
Pack of 5 attendees$ 4,230.00 (15% discount)(early bird rate)
(price after November 20, 2026 is $ 4,655.00)
Pack of 10 attendees$ 7,960.00 (20% discount)(early bird rate)
(price after November 20, 2026 is $ 8,760.00)
Pack of 20 attendees$ 14,925.00 (25% discount)(early bird rate)
(price after November 20, 2026 is $ 16,425.00)

Your registration may be transferred to a member of your organization up to 24 hours in advance of the event. Cancellations must be received on or before October 30, 2026 in order to be refunded and will be subject to a US $195.00 processing fee per registrant. No refunds will be made after this date. Cancellations received after this date will create a credit of the tuition (less processing fee) good toward any other EUCI event. This credit will be good for six months from the cancellation date. In the event of non-attendance, all registration fees will be forfeited. In case of conference cancellation, EUCIs liability is limited to refund of the event registration fee only. For more information regarding administrative policies, such as complaints and refunds, please contact our offices at 303-770-8800

EUCI retains the right to refuse registration by any individual or company.

Agenda

Thursday December 3, 2026
Central Time

Online

Log In & Welcome

8:45 AM

Lunch Break

12:15 - 1:15 PM

Adjourn for the day

5:00 PM

8:45 AM - 9:00 AM

Log In & Welcome

9:00 - 9:45 AM

The AI Moment in Electric Utilities

  • Review AI trends reshaping the utility industry
    • Generative AI vs. traditional machine learning
    • Growth of grid edge data including smart meters and sensors
  • Discover AI applications across transmission, distribution, customer operations, and asset management
    • Predictive maintenance for transformers and vegetation management
    • Renewable energy integration
    • Dynamic load forecasting
  • Examine drivers of AI adoption including reliability, workforce challenges, and operational efficiency
    • Managing extreme weather events and other grid resilience events
    • Gain institutional knowledge from the experienced utility workforce
  • Evolving role of utility leadership in AI oversight
    • Bridge the gap between Information Technology (IT) and Operational Technology (OT)
  •  
9:45 - 10:30 AM

Foundations of AI Strategy

  • AI objectives and guiding principles
    • Defining safety, reliability, and equity in utility AI systems
  • Combining AI strategy with business and grid modernization needs
    • AI roadmap alignment with Integrated Resource Plans (IRPs)
  • Develop AI operating models, success metrics, and value measurement
      • Centralized and federated AI Centers of Excellence (CoE) for utilitie
10:30 - 10:45 AM

Morning Break

10:45 - 11:30 AM

Identifying High-Value AI Use Cases

  • AI opportunities across utilities
    • Examining use cases resulting from AI expansion in utilities
  • Evaluate business value and the complexity of implementation
    • Data availability, sensor readiness, and integration of legacy systems
  • Prioritize use cases based on operational and regulatory impact
    • Assess priorities based on utility risk profiles
  •  
11:30 AM - 12:15 PM

Building the AI Strategy Roadmap

  • Resource planning and capability development
    • Build or buy decisions for utility-specific AI software
  • Workforce readiness and change management
    • Training utility workforce members to trust and use AI outputs
  • Creating pilot programs, scaling strategies, and budget plans
    • Structuring "proof of concept" trials without risking grid stability
12:15 - 1:15 PM

Lunch Break

1:15 - 2:00 PM

Foundations of AI Governance

  • Establishing AI governance objectives and scope
    • Defining responsible use of AI in a regulated infrastructure environment
  • AI oversight responsibilities and roles
    • Creating utility AI governance groups and defining their roles
  • Relationship between AI governance and data governance
    • Ensure data lineage across GIS, SCADA, and ADMS networks
  • Creating AI policies, standards, and controls
    • Establishing policies for employee use of public Generative AI tools
2:00 - 2:45 PM

Risk Management for Utilities

  • Utility-specific AI considerations
    • Manage multi-state differences in AI data privacy
  • Model risk assessments
    • Establish protocols to evaluate AI models before they are put into widespread use
  • Reliability, safety, and operational risk management
    • Define when to disconnect autonomous AI systems from physical grid assets
  • Cybersecurity risks
    • Protecting AI from attacks from outside sources that can impact grid load
2:45 - 3:00 PM

Afternoon Break

3:00 - 3:45 PM

AI Lifecycle Controls

  • Data quality controls
    • Manage missing or incorrect data from substation sensors
  • Model development
    • Standardized documentation and model validation protocols before deployment
  • Monitoring model performance and detecting drift
    • Identify when weather patterns degrade AI accuracy
  • Documenting the process
    • Creating audit systems for regulatory compliance
3:45 - 4:30 PM

AI Governance Maturity Model & Implementation Roadmap

  • AI governance maturity assessment frameworks
    • Evaluating a utility from beginning to optimization
  • Implementation of milestone development
    • Setting 30, 60, and 90-day governance goals
  • Scaling governance across the enterprise
    • Ensure consistent governance across the organization from corporate positions to live grid control rooms
  • Launching an AI governance program
    • Securing executive agreement and capital allocation for long-term compliance mechanisms
4:30 - 5:00 PM

Review, Q&A, and the Future of AI Strategy & Governance for Utilities

  • Key takeaways
    • Review of actionable roadmap steps
  • Future Trends for AI in Utilities
    • Autonomous grids, microgrid management, and evolving federal AI regulations
  • Q&A
    • Attendee questions and closing remarks

Instructor

Josh Poduska

Director, Enterprise AI

Pacific Gas & Electric

Josh Poduska is an AI leader with over 25 years of experience spanning manufacturing, smarter cities, and utilities. He serves as Director of AI at PG&E, where he helps drive the responsible adoption of AI across the company. He oversees the Enterprise AI Center of Excellence, AI Governance, and AI Delivery. He is part of the leadership team designing and implementing PG&E’s AI strategy. Josh holds a Master’s degree in Applied Statistics from Cornell University and a Bachelor’s degree in Mathematics from UC Irvine.

Continuing Education Credits

IACET

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EUCI is accredited by the International Accreditors for Continuing Education and Training (IACET) and offers IACET CEUs for its learning events that comply with the ANSI/IACET Continuing Education and Training Standard. IACET is recognized internationally as a standard development organization and accrediting body that promotes quality of continuing education and training.

EUCI is authorized by IACET to offer 0.6 CEUs for this event

Verify our IACET accreditation

 

Who recognizes IACET Credits?

Requirements for Successful Completion of Program

Participants must sign in/out each day, be in attendance for the entirety of the course

 

Instructional Methods

PowerPoint presentations and open discussion will be used

CPEs

Upon successful completion of this event, program participants interested in receiving CPE credits will receive a certificate of completion.

Course CPE Credits: 7.0
There is no prerequisite for this Course.
Program field of study: Specialized Knowledge
Program Level: Basic
Delivery Method: Group Internet Based
Advanced Preparation: None

CpeEUCI is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org

CLE

Only registered attendees can request CLE credits for an EUCI course/event. Please email [email protected] prior to the course start date and list the state where you are licensed and your bar# as well as the name and date of your course/event in your request, and someone will be in contact.

Who Should Attend

This course is designed for professionals responsible for AI strategy, technology implementation, grid modernization, and risk management within electric utilities, including:

  • Chief Digital Officers and Digital Transformation Leaders
  • AI Strategy and AI Program Managers
  • Grid Modernization and Innovation Leaders
  • Data, Analytics, and Data Science Professionals
  • Enterprise Architecture and IT Leaders
  • Grid Operations and Operational Technology (OT) Professionals
  • Asset Management and Reliability Leaders
  • Cybersecurity and IT Security Professionals
  • Regulatory Affairs and Compliance Professionals
  • Enterprise Risk Management Professionals
  • AI Governance and Responsible AI Leads
  • Data Governance and Data Management Professionals