Women in AI @ Collision 2019 Breakfast

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University of Toronto ONRamp Entrepreneurship

100 College Street

Suite 150

Toronto, ON M5G 1L5


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Event description
A morning of discussions and networking around the future of women in AI; kindly sponsored by GEOTAB Torque Labs and UofT Entrepreneurship

About this Event

We are looking forward to winding down the week at Collision with a breakfast, where we hear from leading female experts in Artificial Intelligence and discuss the impact AI will have globally, and how women will take the lead.

You can make new connections and network with attendees from various sectors including retail, law, banking, transport, healthcare & security.


7:45am Registration

8am - Introductions

Welcome from Helen Kontozopoulos, Co-founder and Chief Product Officer of

Welcome from Keri Damen, Managing Director, University of Toronto Entrepreneurship

Welcome from Alex Townsend, GEOTAB Torque Labs

Community updates:

Kishawna Peck, Toronto Women in Data Science (Toronto WiDS)

8:10am - Keynote

Sarah Qadeer, General Counsel and Corporate Secretary at Home Depot

8:20 - Panel discussion


Carole Piovesan, Partner and Co-founder, INQ Data Law


Nicole Godin, Privacy & Governance Lead, GEOTAB

Sedef Akinli Kocak, Project manager, Vector Institute

8:45am Networking

9am - Thank you for joining us!

Thank you to our sponsors:

GEOTAB Torque Labs and UofT Entrepreneurship

Thank you to all our community partners:

Vector Institute, CIFAR, UTEST, UofT Faculty of Engineering Machine Intelligence Program, NextAI. Borealis AI, CNE Innovation Garage, and ICube - University of Toronto.

Thank you to everyone who will join us!

Helen & Carole,


GEOTAB Torque Labs

Torque Labs is an early stage corporate accelerator program based out of Geotab, one of the world's largest and fastest growing fleet telematics companies. The program provides funding, mentorship, and access to Geotab resources, partners and customers for early stage companies that can leverage the Geotab platform to bring their technologies to market. The program will officially launch in June of this year and applications are currently open for entrepreneurs, technologists and companies looking to offer unique solutions in the following areas: computer vision, asset tracking, logistics and transportation, driver technologies, car sharing and autonomous vehicle technologies. If you are interested in learning more please contact us at

UofT Entrepreneurship

University of Toronto entrepreneurs have created more than 500 companies, securing more than $1 billion in investment over the past decade. Our research strengths in areas such as health sciences, AI and information technology converge to launch game-changing startups that transform lives in Canada and around the world.

Carole Piovesan

Carole is a Partner and co-Founder of INQ Data Law where she focuses on data governance, privacy law, cybersecurity and artificial intelligence. Carole has advised the Canadian government on legal and policy issues related to AI, and regularly advises companies on matters involving their collection, storage and use of personal information. She was appointed by Canada’s Minister of Innovation, the Honourable Navdeep Bains, to serve as one of six innovation experts to lead the data and digital consultations on the Minister’s behalf. Carole is a recognized expert on legal and policy issues relating to data and AI and is a frequent speaker and author on these topics. Prior to co-founding INQ, Carole was a lawyer at McCarthy Tétrault where she served as co-lead of the firm’s National Cybersecurity, Privacy and Data Management group and was the lead author of the firm’s white paper on the legal implications of Artificial Intelligence

Helen Kontozopoulos

Helen Co-Founded a customer journey analytics and prediction platform for enterprise companies. ODAIA’s core data mining and prediction algorithms were developed at the University of Toronto, and supported by UofT’s Intellectual Property Office’s accelerator UTEST and MaRS Innovation. She is an Adjunct Professor at the University of Toronto, where she teaches product development, design, and entrepreneurship in the Department of Computer Science, and Department of Computer and Mathematical Sciences. She co-founded the University of Toronto’s Department of Computer Science Innovation Lab, an incubator to support students and researchers to commercialise their innovations in emerging technologies, such as Artificial Intelligence, Cyber security, and AR/VR. Her next community initiative is to increase the voices and diversity in the development of Artificial Intelligence by co-founding

Sedef Akinli Kocak, PhD

Dr. Akinli Kocak is the Project Manager at Vector Institute for artificial intelligence where she provides passionate and dedicated AI project development and management capability to support collaborations between Vector’s industry sponsors and researchers in building and applying innovative AI/ML technologies to address top cutting-edge challenges. As part of the Industry Innovation team at Vector Institute, with her academic experience in data science and in industry data intense projects using advanced computing tools and techniques, she drives AI/ML projects with real world impact. She holds PhD from Data Science Lab at Ryerson University, Master of Science degree from University of Maine and MBA from Ankara University.

Kishawna Peck

Kishawna is a Product Analyst at Moneris Solutions, one of North America’s leading payment processors. She holds an Economics degree from Glendon College, York University and a post graduate certificate in Analytics for Business Decision Making from George Brown College. She is interested in data science applications in Fintech and the future of Work and Learning.

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University of Toronto ONRamp Entrepreneurship

100 College Street

Suite 150

Toronto, ON M5G 1L5


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