Map AI adoption priorities
Understand which AI use cases, investment themes, and organizational priorities are shaping adoption across Canadian and international markets.
CPAI Event
Upcoming
ALL IN 2026
Canada's largest AI and technology event, bringing together 6,500+ decision-makers, experts, startups, investors, and ecosystem leaders in Montreal.
About This Event
ALL IN 2026 is Canada’s largest AI and technology event, bringing together decision-makers, experts, startups, investors, researchers, and industry leaders in Montreal for two days focused on AI adoption, innovation, and economic impact.
The 2026 edition takes place September 16-17 at the Palais des Congres in Montreal. The event is designed for leaders who want to understand where AI is moving, how organizations are applying it, and how Canada’s AI ecosystem is connecting research, startups, enterprise users, investors, and public-sector partners.
Why CPAI is tracking this event
ALL IN is highly relevant for CPAI members and partners because it connects practical AI adoption, executive decision-making, Canadian innovation capacity, and sector-specific AI use cases. The program is useful for organizations evaluating AI strategy, implementation partners, responsible AI practices, startup collaborations, and investment signals.
Event focus
- Enterprise AI adoption and transformation across sectors.
- Canadian and international AI ecosystem connections.
- Startups, investors, researchers, and technology providers.
- Applied AI use cases, demonstrations, and market-ready solutions.
- Responsible AI, governance, and policy conversations.
- AI in industries such as manufacturing, mobility, finance, health, retail, and public services.
What You'll Learn
Connect research, startups, and enterprise users
Meet leaders from the Canadian AI ecosystem, including startups, investors, researchers, and industry teams building or buying applied AI solutions.
Evaluate practical AI opportunities
Use sessions, demos, and exhibitor conversations to identify AI opportunities that can move from strategy into implementation.
Track responsible AI and governance signals
Follow discussions on trust, policy, risk, and responsible deployment that matter for organizations scaling AI safely.
Assess industry-specific use cases
Explore how AI is changing sectors such as manufacturing, mobility, health, finance, retail, public services, and technology.
Build partnership and investment context
Identify potential partners, vendors, customers, and funders across the AI ecosystem.
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