Tuesday, June 27, 2017 from 5:00 PM to 9:00 PM EDT
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Thomson Reuters 
3 Times Square, 30th Floor
New York, NY 10036

Driving Directions 


Rafael Perez 
Consulate General of Canada in New York 

#CanadaAI Summit

The Consulate General of Canada in New York invites you to a panel discussion and networking session in partnership with NYU Future Labs, O’Reilly AI Conference and Layer 6 AI to explore the global economic impact on the usage of AI across all vertical industries.

Canada is a world leader in business intelligence services and offers a wealth of opportunities for companies looking for AI solutions to grow their footprint in CanadaThe AI Summit will be an opportunity to learn more about the economic outlook, industry trends, and Canada’s deep learning talent pool / capabilities in AI. The event is open to all tech companies, entrepreneurs, VCs, and academia with an interest in AI.


5:00 PM
Registration & Networking Reception

5:40 PM
Opening Remarks: Phyllis Yaffe, Consul General of Canada in New York 

5:45 PM
"Canada's AI Ecosystem & Global Economic Impact"
A Conversation with Jordan Jacobs, Co-Founder & CEO, Layer 6 AI

6:30 PM
Panel Discussion: What is Artificial Intelligence in the Real World?
Industry leaders debate how AI is changing the retail, finance, transportation, and media world.
It's time to step out of theory and into real life application of AI. Enjoy a thought provoking discussion that aims to clarify AI misconceptions and get your chance to ask questions to AI thought leaders.



7:30 PM 
Networking Reception Continues 

Featured Speakers

Jordan Jacobs
CEO & Co-Founder, Layer 6 AI

Jordan Jacobs is co-­founder and co-­CEO of Layer 6 AI, which has invented the first SaaS end-to-end Deep Learning Personalized Recommendation, Search & Prediction Engine. Layer 6 AI helps banks, media, cable/telco, healthcare and e-­commerce companies leverage all of their data to understand in real-time each customer’s satisfaction and to personalize each customer experience with world-­leading accuracy. Jordan is also co-­founder and on the Board of Directors of the Vector Institute for Artificial Intelligence. Jordan previously co-­founded Milq, a cultural content discovery platform that works with organizations like the NBA, NY Times and GOOP. Jordan also founded SpyBox Media, through which he developed and partnered with Elton John to executive produce the TV series Spectacle. Hosted by Elvis Costello, the Emmy-­nominated, Gemini Award winning, NY Times Top 10 TV series features guests including Bono and The Edge of U2, Bruce Springsteen, Lou Reed, Zooey Deschanel, Herbie Hancock, Renée Fleming and President Bill Clinton. Jordan spent 15 years as a media and tech lawyer, advising tech entrepreneurs, Grammy and Oscar winners and sports teams in complex transactions, first at a large firm in Toronto and, for 10 years, at his own firm. He received his J.D. from Osgoode Hall Law School in Toronto, where he was admitted at age 19. Jordan invests in and advises the founders of new technology companies, with a particular focus on AI.

Steven Kuyan
Managing Director, Future Labs

The Future Labs are a network of programs supporting entrepreneurs in technologyspecific verticals such as; Artificial Intelligence, Machine Learning, and Data at the DataFuture Lab; and Augmented/Virtual Reality, Video, Virtual Machines at the DigitalFuture Lab. The graduate portfolio includes 68 companies, 13 graduating throughacquisitions with industry leading startups like CB Insights, Clarifai, GeometricIntelligence, Tap Commerce among many others. Steven is an adjunct professor of Entrepreneurship at NYU and supports entrepreneurshipcurriculum across the Engineering School, the InnoVention hardware prototypingcompetition, fellowship programs, entrepreneurship club, and entrepreneurship educationprograms such as the Veteran Entrepreneurship Training (VET) Program. Prior to theFuture Labs, Steven founded and co-founded three ventures in mobile, B2B logistics andretail. Steven holds a bachelor’s and a master’s from the NYU Tandon School ofEngineering.

Featured Companies

Toronto-based Daisy Intelligence is bringing the Retail industry into the 21st century with AI to help fulfill the unmet promise of big data. Retailers have been struggling to turn their investment in data warehousing and business intelligence tools into actionable insights that can incrementally change their P&L. Daisy Intelligence can optimizes core merchandising decisions that retailers make every day in the real world.

Montreal-based Element AI provides a platform that helps organizations embrace an AI-First world for today and tomorrow. Composed of a research lab and consultancy uniquely connected to the world's best academic ecosystems, Element AI creates novel AI-First solutions for large corporations in various sectors including both the finance and media world and aims to implement AI in tangible ways humans and companies alike can enjoy.

Toronto-based Heartbeat AI designs emotionally intelligent technologies to help machines understand people’s feelings, and grow our global collective empathy. Heartbeat envisions a future which includes purpose-built apps and tools to promote emotional intelligence across cultures and social groups, including their Global Heartbeat Project - a platform to enable people to build collective empathy around important issues.

Toronto-based indus.ai goal is to 'digitalize' the industrial space. Indus AI is reimagining the Construction Industry with machine learning supervising sites for better safety and efficiency. With new technology like AI, indus.ai can automatically raise alerts to notify the person of contact about incidents immediately when they are happening which increases safety and improve the bottom line.

Halifax-based Lixar continues to drive mobile and data-rich tech innovation. Lixar develops mobile platforms and solutions for enterprise-level transportation focused clients and partners who expect real-time relevancy through mobile connectivity. Lixar is developing new AI solutions for real world applications across multiple sectors.

Montreal-based Maluuba’s vision is to solve 'Artificial General Intelligence' by creating literate machines that can think, reason and communicate like humans. They focus on opportunities to apply Deep Learning and Reinforcement Learning techniques to solve fundamental problems in language understanding, with the goal of creating a truly literate machine - one that could actually read, comprehend, synthesize, infer and make logical decisions like humans.