Empowering Trusted, Scalable AI
5 March, 2026
Marriott Downtown at CF Toronto Eaton Centre
IBM is proud to participate in the IDC AI & Data Summit Toronto, where Canada’s technology and business leaders will convene to address the country’s most pressing priorities in AI and data strategy – scaling AI responsibly, strengthening data foundations, and navigating evolving regulatory expectations.
As organizations move beyond experimentation and into real‑world deployment, many face a common challenge: early AI wins often fail to translate into enterprise‑wide impact. Data quality, integration barriers, and inconsistent governance continue to limit the ability to scale intelligent systems reliably. IDC highlights that responsible operationalization and strong data foundations remain essential to unlocking AI’s full value.
At this year’s summit, IBM will share practical strategies for transforming isolated proofs of concept into a unified, trusted AI ecosystem, where orchestrated agents can operate securely across business domains. Through industry insights and expert‑led discussions – including IBM’s session on Scaling Trusted AI for Sustained Enterprise Impact – we will explore what organizations need to run AI agents at scale, establish AI‑ready data architectures, and apply governance frameworks that ensure reliability without slowing innovation.
Join us as we walk through proven patterns to accelerate enterprise AI – from integrating fragmented systems to measuring real business value – helping leaders prepare for the agentic era while building a foundation of trust, accountability, and long‑term resilience.
Many organizations have successfully moved beyond AI experimentation, proving the immense potential of the technology. As we enter the next phase of maturity, the focus shifts to a higher vision: transforming promising pilots into a unified, enterprise-wide reality. The dream of a fully integrated AI ecosystem, where intelligent agents collaborate seamlessly across the business is the new frontier for competitive advantage.
In this session, we will focus on the strategic path to turning early success into lasting business value. We will explore how to bridge the gap between isolated wins and a cohesive, reliable enterprise architecture. Rather than focusing solely on the complexity of fragmented data, we will look at proven patterns for success from creating AI-ready data foundations to mastering the orchestration and governance required for the agentic era.
With Marcela Vairo Pasqualetti, Vice President, Data Platform, IBM Americas