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November 15, 2023
lennox hall | 8:30AM - 1:30PM ET
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$395.00 CAD + Taxes
$295.00 CAD + Taxes
Early Bird Ticket sales end October 15, 2023
Each ticket receives:
$195.00 CAD
Group Ticket sales end May 2023
Each ticket receives:
$295.00 CAD
General Admission ticket sales end May 2023
Each ticket receives:
CEO,
Toronto Transit Commission
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CEO,
Canada Infrastructure Bank
CEO,
Engineering Services Canada,
SNC Lavalin
Commissioner, Public Works,
Regional Municipality of Peel
CEO & Co-Founder,
Promise Robotics
Chief Development Officer,
Infrastructure Ontario
Associate Partner,
Maverix Private Equity
Global Director of Net Zero Innovation,
SNC Lavalin
Head of Public Policy and Communications, Canada,
Uber
Chief Development Officer,
Metrolinx
Executive Vice President, Development, Northcrest Developments
Managing Partner,
TwinRiver Capital
CEO,
CivicAction
Director,
Transit and Transportation Planning,
City of Toronto
President and Chief Executive Officer,
Toronto Community Housing
President & Vice-Chancellor,
Concordia University
Chief Marketing Officer,
SHIFT Transit
President & CEO,
Flo
Executive Editor,
Electric Autonomy Canada
Co-Principal, WGD Consulting and Chair,
TRACCS Transit &
Rail Association
Event MC
The Data Effect is headed to Toronto to bring together the ideas, technologies and people who can show us how to better use and share data to solve some of our most daunting challenges.
Data platforms: how to drive timely access to high-quality health data that fuels innovation and improved services
Advanced research & discovery: how to integrate insights from across vertical data silos through federated models
Building data governance and privacy models: so that AI/ML can be applied to accelerate research, and that data can be shared among research and clinical use cases
Data Partnerships: how to build effective data partnerships across major research institutions and government
CEO,
Pentavere
Co-founder and COO,
Signal 1
Vice President - Data Science and Advanced Analytics,
Unity Health Toronto
Education Lead,
Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM)
Former General Counsel,
Chief Data Governance and
Privacy Officer at Vancouver Coastal Health
Executive Director,
Pan-Canadian AI Strategy,
CIFAR
President,
Alexynn Group
Customer Engineer - Public Sector & Healthcare,
Google Cloud
Chief Technology Officer,
Government of Ontario
Chief Health Data Officer,
CHUM
Co-Founder and CEO,
DNAstack
Chief Data Officer and Vice President,
Health,
Vector Institute
CEO Hero AI and
Clinical Lead for Artificial Intelligence in Medicine at SickKids
Vice-President and CIO,
Canadian Institute for Health Information
Vice-President of Research,
Holland Bloorview Institute
Dean of Law,
Queen's University
Senior Manager,
Health & Life Sciences,
Deloitte
Health Reporter,
The Globe and Mail
Chief Technology Officer,
integrate.ai
Bioethicist,
Department of Bioethics,
SickKids
Anchor, CityAge
Founder, The Narrative Agency
Arrival Coffee
Welcome by Conference MC
Opening presentation: Governing Data for Velocity: Moving at the Speed of Trust
Panel 1: The Power of Shared Insights - The Leap Forward Health Care Needed
Years of emphasizing 'data-sharing' hindered health progress and collaboration. Join our panel to explore how 'insights-sharing' and cutting-edge federation technology are reshaping global health care, from precision care to a new health economy.
Presentation: Improving Health Care with Interoperability and Machine Learning
This session will focus on interoperability and on leveraging pre-built AI/ML tools to deliver valuable insights quickly throughout the patient care journey.
Presentation: Charting Ontario's Path to Global Leadership in Health AI through Data
Enabling AI to support the public sector is a major undertaking that requires system-wide collaboration. This presentation will discuss the necessary elements to bring AI to scale in the public sector.
Break #1
Panel 2: AI in Health Care: Successes, Failures, and Lessons for the Future
Scientists, start-ups and researchers have been working with AI to change the health care system for some time now. This panel addresses what we can learn from practical use cases to succeed in the future.
Presentation: Implementing and scaling AI in a Health Care enterprise
Despite growing interest in AI for health care, deployment in the field remains limited. This presentation discusses some of the necessary ingredients for hospitals to be able to responsibly deploy, manage and scale AI across their organization.
Fireside chat: How do we regulate AI in health?
Break #2
Table-side Breakout Discussions
Presentation: The Role of Data and Artificial Intelligence in Learning Health Systems
Various forms of data and applications of artificial intelligence play a pivotal role within a learning health system. This presentation showcases its potential for improvement in patient outcomes, population health and hospital operations.
Panel 3: AI in Health Care: Incentives, Integration, and Social Acceptance
How can we bridge the gap between the potential of AI in health care and its implementation and use by health care professionals? Join us as we explore how to create social acceptance of AI use within the community to improve the quality of work and of care.
Closing comments and luncheon
