• Schedule


    Understanding IP licensing in the field of artificial intelligence

    This session is presented by ROBIC.

    7 h 30

    Welcome, registration, coffee and networking​

    8 h

    Opening remarks and introductions​

    8 h 15

    What is a data science research project?
    • Development and discovery of new algorithms, technical uses, basic and applied research. Challenges with access to data.
    • Examples in deep learning, operational research, and business intelligence

    9 h

    Artificial intelligence and intellectual property
    • The taxonomy of artificial intelligence and data science (toward a shared vocabulary). Where does data science IP stand as far as TRL (algorithms, raw data, modified data, trained engines, private and public data)?
    • Explanation of the principles, methods, limitations, and uses of protection tools (patents, copyrights, know‑how, trade secrets, MTA)
    • Open source 101 and data licensing (types of licences, pros and cons, pitfalls to avoid)

    10 h 15

    Networking break

    10 h 30

    Busting myths​

    • Landscape of leaders in AI (technological, geopolitical and IP races)   
    • Who patents what, current and best practices (universities, SMEs, major industries)
    • Strategies used by industry leaders (open source, copyright, licensing, patents, trade secrets). How important is IP for tech companies (start‑ups, SMEs, large businesses)?
    • Where value is built in the ecosystem according to licensing strategies

    11 h 45

    Daniel Dardani, MIT Technology Licensing Office

    • Approaches and strategies for IP protection and licensing used at MIT
    • Feedback

    12 h 30



    University IP management strategies to help ensure a sustainable ecosystem

    This session is presented by BCF.

    13 h 15

    Introductory remarks and afternoon objectives​

    13 h 25

    Presentations on licensing strategies and approaches used at different universities​

    IP management in research contracts, IP licensing, data management, ethics management regarding research use

    15 h

    Networking break

    15 h 15

    What issues and realities do tech SMEs and start‑ups face?​

    • The role of IP in their growth
    • The IP development process and ways to speed it up
    • Wariness of university IP licensing
    • Licencing conditions needed to access university IP: scope, exclusivity, revenue structure
    • University IP as a potential strategic asset/advantage for start‑ups
    • Positive transfer mechanisms

    15 h 45

    Business growth, funding, business valuation​

    • IP and investments
    • Use of open source (future risks - acquisition)
    • Building value proposition and unique business offering
    • What investors/acquires like and don’t like to see in IP and licensing contracts


    For SME and start-ups, the strategic financing of the R&D, the technologies in AI available for licensing and how to deal with universities

    13 h 15

    Opening remarks and session objectives​

    13 h 20

    Flash presentations of available enabling technologies​ and academic expertise available to SMEs

    The financing of the R&D for SMEs

    This part of session B is organized by TechnoMtl and Prompt and presented by Finalta.

    13 h 30

    Strategic planning for financing R&D

    How do industry leaders do it?

    14 h 15

    Flash presentations of available enabling technologies and academic expertise available to SMEs​

    14 h 25

    The secrets of a good R & D strategy in a collaboration business-university

    Which possible assemblies to maximize every invested private dollar

    15 h 05

    Flash presentations of available enabling technologies​ and academic expertise available to SMEs​

    15 h 15

    Networking break

    Business with universities: simpler and more valuable than you think

    This part of session B is presented by NSERC.

    15 h 30

    The keys to understanding technology transfer. It’s simpler and more valuable than you think!

    15 h 45

    Expert panel: How to engage with universities

    • Advantages
    • Financial leverage
    • Mechanisms
    • Research contracts and IP management

    16 h 15

    How to create a dynamic and agile ecosystem?

    16 h 45

    Closing remarks​ with Pierre Boivin, MILA

    Overview of the Quebec Provincial Strategic Plan for the Development of the AI Ecosystem and the Development of the New MILA

    17 h 15 à 19 h 15

    Networking cocktail reception with booths

  • Founders

  • Platinum

  • Silver

  • Bronze

  • Supporters