Toronto 2026
Toronto 2026
Location
MaRS Waterfront, Lake Lounge
155 Queens Quay East
Toronto, ON M5A 1B6
155 Queens Quay East
Toronto, ON M5A 1B6
Date
October 14, 2026
10:00 AM – 3:00 PM
10:00 AM – 3:00 PM
10:00 AM
Opening
Opening Remarks
Join us at 10:00 to kick off this third Toronto edition of Impact AI! This year we welcome remarkable guests and cover a range of timely topics that will inspire and spark innovation. We take a few minutes to walk you through the day before handing the floor to our first speaker.
10:15 AM
Conference
AI Governance, Demystified: What Your Data Should (and Shouldn't) Feed Your Models
For most organizations, AI governance is still a mystery. Gabriella Chidiebere, who leads data governance and readiness for AI consumption at TD Bank, breaks down what good governance actually looks like in practice: which data your models should consume, how to validate that nothing slipped in that shouldn't, and the dos and don'ts of building AI you can trust.
11:00 AM
Conference
The Human Side of AI: Leading Change When Your Workforce Is Afraid
The hardest part of AI adoption isn't the technology, it's the people. Dave Cachia, CIO of the Municipality of Clarington, shares what it takes to bring AI into an organization where fear of job loss is real and layoffs aren't an option: framing AI as a tool that augments skills rather than replaces them, and turning skeptics into adopters one conversation at a time.
12:00 PM
Networking
Lunch Time
Take the time to eat and socialize! Enjoy a good meal while exchanging with the other participants and reflecting on what you heard this morning. This is the ideal moment to build connections before the afternoon sessions begin.
1:00 PM
Panel
When AI Rewrites the Business Model
Most enterprise AI initiatives fail for two reasons: the problem was never defined, and someone bought into snake oil. The organizations that get it right are the ones treating AI not as a productivity tool, but as a lever to rewrite what their business is actually for. This panel brings together operators from industries where AI is quietly reshaping the operating model. Expect a candid conversation on what it takes to make AI stick inside a legacy enterprise, why the data foundation matters more than the model, and why the real prize is the business model, not the headcount cut.
2:00 PM
Networking
Break
Treat yourself to a well-deserved break with snacks and refreshments. Use the time to reflect on the ideas shared so far and to get ready for the last session of the day. Our speakers stay on the floor, so this is your chance to ask them the question you have been holding on to.
2:30 PM
Panel
Before the Knowledge Walks Out the Door: Capturing Expertise to Train Your Agents
Every organization is sitting on expertise that lives in people's heads, and much of it is walking toward retirement. This panel digs into what it takes to capture institutional knowledge before it leaves, turn it into fuel for AI agents, and do it in a way employees embrace instead of fear: what to record, what to automate, and what to leave human.
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