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Montreal AI Night #2 - From AI Curiosity to Real Business Use Cases

Event artwork for Montreal AI Night #2 - From AI Curiosity to Real Business Use Cases

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About this event

What to expect

Montreal AI Night returns for its second edition with a clear mission: bridge the gap between AI curiosity and practical business implementation. This three-hour gathering at Université de Montréal's Campus MIL brings together two essential groups — those wrestling with real business challenges and the builders creating AI solutions to solve them.

Who This Event Serves

This structured evening is designed for two distinct audiences working at the intersection of AI and business. The Curious with a Problem — entrepreneurs, operators, professionals, and business owners who recognize AI's potential but need concrete examples of where it creates genuine value. The Builder with a Solution — developers, automators, creators, consultants, and AI experimenters building tools, workflows, agents, or prototypes that address real-world problems. Whether you're experimenting with ChatGPT, Claude, automation platforms like Make or Zapier, or exploring AI agent frameworks, you'll find your people here.

Event Structure

The evening opens with a brief welcome and recap of the successful first edition, followed by a structured "turn of the table" where each attendee shares their background, current challenges, and what they're building or seeking. This format ensures everyone understands who's in the room and creates natural collaboration opportunities. The heart of the event features live build showcases from local Montreal builders demonstrating practical AI implementations — from workflow automation to custom agents solving specific business problems. The discussion focuses squarely on turning theoretical AI interest into actionable business use cases, with plenty of time for open networking and collaboration.

What Makes This Different

This isn't a passive conference or lecture series. Montreal AI Night is deliberately structured as an active, participatory gathering where context-sharing and direct connection drive the experience. The organizers learned from the first edition that attendees want to see what AI can actually accomplish, meet the people building locally, and discover concrete solutions to their challenges. Each participant brings either a problem to solve or a build to showcase, creating a natural exchange of needs and capabilities within Montreal's growing AI builder community.

Practical Details

The event runs from 7:0

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