MASTERCLASS: 2026 Digitalization & AI in Energy Canada Conference

The energy sector has spent years investing in AI, data science, and digital transformation without consistently translating pilots into durable business outcomes. Meanwhile, Generative AI and Agentic AI are advancing quickly across other industries, changing expectations for speed, productivity, and decision making.

This masterclass provides a practical pathway for energy leaders to move from experimentation to value. You will learn how to align Generative AI and Agentic AI to business objectives, navigate governance and risk, and design high impact use cases that can scale across real workflows.

You will leave with a clearer understanding of where your organization sits on the maturity spectrum, what capabilities you need to build next, and how to prioritize investments for measurable outcomes.

9:00 AM to 9:40 AM | The GenAI and Agentic AI ecosystem in energy

Where the sector stands compared to other industries
Why progress stalls behind “data quality” and “data silos”
What acceleration looks like in practice

9:40 AM to 11:20 AM | Deep dive: the power of GenAI and the wider ecosystem

Moving from data mess to “smart data” and usable knowledge
High value areas: forecasting, optimization, prediction
Cloud and edge foundations, and what is realistically needed

11:20 AM to 11:40 AM | Networking break

11:40 AM to 12:30 PM | Case studies and value design

Value definition: how to specify, measure, and defend it
Demand forecasting and predictive maintenance
Category management, fraud detection, and other transferable patterns

12:30 PM to 1:30 PM | Networking lunch

1:30 PM to 3:00 PM | The burning questions

Best practices for implementing Generative AI and Agentic AI
Leadership readiness and workforce transformation
How to build capability, train teams, and sustain adoption
Future trends and what to plan for now

3:00 PM to 3:15 PM | Survey and wrap

The difference between traditional AI, Generative AI, and Agentic AI, and where each fits
Why transformation often stalls, and how to overcome the common blockers
How legacy operating models conflict with next generation AI capabilities
How to shift from activity driven projects to value driven delivery
How to assess your organization’s readiness and maturity
The leadership, talent, and operating model requirements to scale responsibly
How to build a value driven use case for energy workflows using real examples