SCHEDULE

DAY 1: WEDNESDAY, MAY 24th

7:30-9:00 Private Morning Session & Breakfast, presented by FASKEN MARTINEAU

7:30-7:50 Breakfast & Networking
Welcoming attendees in the Shed Tent

7:50-7:55 Sponsor Welcome

7:55-8:00 Opening Remarks

8:00-8:30  From Seed to A: The Story of Two Montreal Companies Reinventing Transportation

8:30-9:00 Building Products at Scale

 

Private WORKSHOPS (ATTENDEES NEED TO REGISTER)

2:00-2:30 From Seed to A: Early Stage Fundraising 101
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2:30-3:00 Improving Design At The Early Stage
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3:00-3:30 Product Management at Scale
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4:00-4:30 Building The Ultimate Pitch Deck
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4:30-5:00 Fireside Chat: What Makes Iconic Companies Successful & How Valley VCs Invest Globally
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5:00-5:30 Pitching Your Startup to The Media
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DAY 2: Thursday, MAY 25th

7:30-9:00 Private Morning Session & Breakfast, presented by Teralys Capital

7:30-7:50 Breakfast & Networking
Welcoming attendees in the Shed Tent

7:50-7:55 Sponsor Welcome

7:55-8:00 Opening Remarks

8:00-8:30 Battle of Startup Ecosystems: Attracting Capital & Talent Outside the Bay Area

8:30-9:00 Fireside Chat: Product Design

 

Private WORKSHOPS (ATTENDEES NEED TO REGISTER)

10:00-10:30 Fireside Chat: Cloud AI, Natural Language Processing and the Future of Software
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10:30-11:00 Delete Your Logo: A Primer on Brand and Product Value
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11:00-11:30 Building Talent Strategies
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PUBLIC KEYNOTES

12:00-12:15 Startup Pitches, presented by AccelerateMTL
Cabaret Stage

 

Private WORKSHOPS (ATTENDEES NEED TO REGISTER)

2:00-2:30 Building A Transformative Board
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2:30-3:00 Automating & Scaling Profitable Marketing Channels
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3:00-3:30 Startup Storytelling
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3:45-4:05 Artificial Intelligence & Conversational Marketing
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DAY 3: FRIday, MAY 26th

PUBLIC KEYNOTES

9:00-9:20 So, you want to found an AI startup?
AI Forum, (requires access to AI Track), Co-presented by iNovia Capital and BDC Capital

 

PRIVATE WORKSHOPS (ATTENDEES NEED TO REGISTER)

10:00-10:30 Demo Camp
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10:30-11:00 Great Teams and Great Execution: Engineering vs Data Science vs Machine Learning
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11:00-11:30 Getting AI From Research To Real World Problems
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