Driving Innovation Through Data and Analytics Excellence
25-26 March, 2026
Hyatt Regency, Toronto
IBM is proud to participate in CDAO Canada 2026, the leading event for executives shaping the future of data, analytics, and AI across the country. This year’s theme — Leveraging Generative AI to Transform Data Strategy — speaks directly to the urgent need for organizations to break down data silos, activate trusted context, and scale AI responsibly.
As Canadian enterprises move from AI pilots to enterprise-wide deployment, IBM will highlight how advanced semantic capabilities and federated architectures can help unify internal and external data without disruptive migrations. By transforming fragmented data into real‑time, agent‑ready insights, organizations can empower faster, smarter decisions while maximizing existing technology investments.
IBM experts will join cross-industry leaders to explore what’s next: secure and governed AI agents that can retrieve, reason, and take action across enterprise workflows. Attendees will also gain practical insights on how to navigate Canada’s evolving regulatory environment — including the implications of Bill C‑27 — and how to establish a foundation of compliant, trusted AI at scale.
Join IBM at CDAO Canada to connect with senior decision-makers, discuss strategies for modernizing data foundations, and discover how governed, context-rich AI can transform the way Canadian organizations operate.
As AI agents take on more responsibility in your enterprise, many teams confront a hard truth: AI is only as reliable as the data behind it. In large organizations, data is typically distributed, inconsistently governed, and difficult to interpret, making it risky for AI agents to operate with confidence.
This session looks at what it truly means to make your data ready for AI agents, beyond simple access or scale. We’ll explore how context, lineage, and governance help agents discover, understand, and safely use enterprise data. Join our industry experts as they outline a practical approach to building data foundations your AI agents can rely on for trustworthy, auditable outcomes.
With Dima Spivak, VP, Product watsonx.data