CA$50 – CA$100

How to leverage AI to grow your business; "AI/Busi

Event Information

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Location

Mozilla

366 Adelaide Street West

#500

Toronto, ON M5V 1R9

Canada

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Eventbrite's fee is nonrefundable.

Event description
Join us for an evening of networking and focused discussions on how AI can be used to deliver business value.

About this Event

Join us for an evening of networking and focused discussions on how AI can be used to deliver business value. The evening brings together technical experts from industry and academia together with the business managers and executives to cross-pollinate.

Who is this event for?

Analytics managers, business executives, startup founders, people interested in investing in AI companies

Format

Lightning talks and semi-structured round-table discussions (guided by questions sourced from the participants during registration)

Typical topics covered

  • What does it take to establish and run a high performance data science team?
  • What are some of the use cases where Reinforcement Learning can be used in industry?
  • What are some of the ethical considerations when leveraging AI?
  • What are investors looking for in AI startups?
  • How to manage an exit strategy in this sector?

Agenda

5:30-6 Arrival and socializing

6-6:20 Welcome notes and lightning talks

6:20-7 Round-table discussions

7-7:15 Break

7:15-8 Round-table discussions

8-8:30 Socializing and wrap-up

Experts

Geoffrey Hunter bridges technical and business teams to help companies integrate and mature their data science capabilities and build intelligent, data-driven products. He currently leads the data science team at Uberflip where his team operates as a centre of excellence serving the decision-making needs of each line of business and imbeds machine intelligence into the Uberflip platform. Prior to joining Uberflip, Geoffrey led the data science team at TribalScale and, prior to that, was a senior data scientist at Deloitte Canada. He holds a PhD in Applied Mathematics and did his postdoctoral fellowship at the Ontario Institute for Cancer Research

Sofiane Belgadi held executive positions in the banking, insurance and high tech sector, after which he launched several businesses, have been managing 3 fintech companies, was a partner in an investment bank, and is currently a partner in an investment fund dedicated to artificial intelligence and robotics with an international presence. Sofiane has the experience of creating and developing entrepreneurial projects with 0 budget until the realization of several millions of revenue. He is also a Speaker and Mentor at Tiequest, Iboos and Biomedical zones of Ryerson and President of SLF association in Toronto (https://www.slftoronto.com). He holds an MBA from HEC Paris.

Vik Pant is a researcher and practitioner of conceptual modeling, and applied artificial intelligence. For over a decade, he has worked in progressively senior corporate and client facing roles at high performing global software vendors. He is a doctoral candidate in the Faculty of Information (iSchool) at the University of Toronto, and earned a master's degree in business administration with distinction from the University of London, a master's degree in information technology from Harvard University, where he received the Dean’s List Academic Achievement Award, and an undergraduate degree in business administration from Villanova University.

Masoud Hashemi is a senior data scientist at Data & Analytics (DNA), Royal Bank of Canada. He holds a Ph.D. from university of Toronto in Biomedical engineering with expertise in machine learning and optimization algorithms focused on the applications in medical imaging. He has worked as a research scientist at Sunnybrook hospital and in various data science roles at Scotiabank, Tangerine, and RBC, applying his skill in machine learning and optimization for personalized/customer-centric banking. He is currently involved in the trustworthy (ethical) AI project, developing standards and algorithms to validate the ART (Accountability, Responsibility, Transparency) of machine learning models. He is an active member of Toronto machine learning communities, interested in deep learning model explainability, adversarial robustness, model and data safety in DNNs.

This event is brought to you by Aggregate Intellect and Lozard Institute

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Date and Time

Location

Mozilla

366 Adelaide Street West

#500

Toronto, ON M5V 1R9

Canada

View Map

Refund Policy

Contact the organizer to request a refund.

Eventbrite's fee is nonrefundable.

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