
Closing the Gap Between Business Systems & AI: An Executive Dinner
Tuesday 17 November 2026, 18:00
Venue time (Toronto)
Downloads an .ics file · Times are in America/Toronto · Google Calendar
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Event details
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Add to calendar · Downloads an .ics file · Times are in America/Toronto · Google Calendar
Join us on Tuesday, November 17th at 6pm ET for an intimate dinner and curated conversation with senior technology leaders navigating the realities of enterprise AI.
As organizations move from AI experimentation to implementation, one question continues to emerge: What challenges are you facing in closing the gap between business systems and AI? From connecting AI to the knowledge it needs to be useful to maintaining security and control over company data, we'll explore what's standing between AI's potential and its practical application across the enterprise.
Throughout the evening, we’ll explore these questions and more through an open, peer-to-peer conversation shaped by the experiences, perspectives, and questions of the group. We’ll exchange ideas, compare approaches, and discuss what it takes to put AI to work across the enterprise.
Expect to connect with CIOs, CTOs, Heads of AI and senior technology leaders, all bringing something real to the conversation.
No presentations or pitches. Just a candid conversation about AI: what’s working, what’s stalled, and where teams are hitting real constraints.
Capacity is limited due to the space.
About your hosts:
Atolio
Atolio is the sovereign context layer for enterprise AI. We turn fragmented enterprise information into trusted context for AI search, copilots, and agents, reducing token usage by up to 80%.
Data Century
Moving quickly on data and AI, while staying compliant and managing risk, Data Century takes data that is accessible, consistent, and trusted when it matters. Data Century helps leaders get there, from data strategy, governance, and management to platform implementation, analytics, and AI. The team works with business leaders to build the data foundations use case by use case, turning data into measurable business value.
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