The AI Strategy: From Pilot to Outcomes in Production
An executive roundtable in Ottawa
What to expect
A dedicated executive experience and practical insights for the production roadmap This dinner is limited to a small group of senior technology leaders to ensure a focused environment for peer-to-peer exchange. The conversation will move beyond theory to focus on how Canadian enterprises are achieving measurable results through production-grade AI.
Key discussion topics include:
- Data velocity: strategies for identifying and clearing architectural bottlenecks
- Production governance: frameworks for security and ethics in live AI environments
- ROI frameworks: measuring success through the lens of decision intelligence
- Local insights: real-world AI adoption stories from the Canadian enterprise
- The agentic shift: moving from foundational models to federated agentic workflows
The venue
Restaurant Gezellig – Ottawa
Strategic discussions require a setting designed for focus and privacy. Located in the heart of Westboro, Restaurant Gezellig—whose name means "convivial" or "cozy"—offers an atmosphere that blends local ingredients with sophisticated design.
Housed in a converted 1950s bank building with soaring ceilings and a secluded dining area, the venue provides the ideal environment for a substantive, off-the-record exchange of ideas. Attendees will leave with practical perspectives to apply to their organization’s production AI strategy.
About your event host, Shawn Gandhi
Shawn has led business transformations at Canadian’s largest institutions and non-profits. He’s driven meaningful impact and AI adoption in Canada through positions as Chief Architect at RBC Digital, Founder of AWS Canada, Director of Engineering at Shopify, and Global Head of AI Solutions at AWS.
Join the conversation with a room of your peers and share your journey towards AI adoption in Canada.
Navigating enterprise AI
Join us for an exclusive executive roundtable, hosted in partnership with Google Cloud, focusing on how AI and database innovations are reshaping business. We'll explore practical applications, including the transformative power of agents and Workspace, to drive efficiency and unlock new growth opportunities across your enterprise. This discussion will highlight real-world strategies for leveraging Google Cloud's cutting-edge capabilities without getting bogged down in technical jargon.
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In-Person
The AI Strategy: From Pilot to Outcomes in ProductionThe era of theoretical AI is over. For technology leaders in Ottawa, 2026 is the year of architectural maturity and verifiable business value. Transitioning from a vision to a production environment that actually moves the needle requires more than just a model; it requires a resilient data foundation and a clear path to scalability. Join an exclusive gathering of senior business and technology executives at Restaurant Gezellig for an off-the-record discussion on the future of the Canadian enterprise. This is an opportunity to cut through the noise—no product pitches or vendor presentations. Instead, we will facilitate a candid conversation among peers navigating the same strategic decisions, infrastructure hurdles, and outcome-quality requirements you face every day. Event details
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The AI Strategy: From Pilot to Outcomes in Production |
The enterprise AI agenda
Driving measurable outcomes with production AI
Strategic discussion pillars
Scaling AI with purpose
Move beyond the hype to focus on AI applications that deliver verifiable business value. We will discuss the specific architectural milestones required to transition from isolated use cases to integrated, production-ready AI systems.
Data foundations for AI
Data readiness is the essential baseline for AI performance. We will examine the governance frameworks, security controls, and structural requirements needed to modernize fragmented data into a high-performance asset that powers enterprise AI.
AI and decision intelligence
Explore how production-ready AI shifts the focus from simple automation to improved outcome quality. We will discuss the strategic frameworks required to embed AI into core business processes to drive faster, data-driven decision making.
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