AI and Productivity: Research, Practice, and Lessons Learned (DDN1-E32)

Overview

Delivery method

Online

Duration

1.5 hours

Audience

All public servants at all levels

Description

As artificial intelligence (AI) tools continue to develop at an increasingly rapid pace, interest is growing across the Government of Canada in adopting AI to improve productivity.

This event will present concrete examples of how federal organizations at various technology readiness levels are using AI to improve productivity, including how to identify tangible gains, how those gains are measured, and what factors influence success. Speakers will discuss lessons learned from different use cases, spanning implementation, ongoing use, evaluation and best practices.

Participants will gain a clearer understanding of how AI can drive productivity, as well as the common challenges and limitations involved, helping them make more informed decisions about the use of AI across the federal government.

This event is organized in partnership with National Research Council Canada.

Speakers

• Margaret Dron, Industrial Technology Advisor, National Research Council Canada
• Stéphane Tremblay, Team Leader, Data Analytics Centre, Digital Technologies Research Centre, National Research Council Canada
• Yuri Grinberg, Research Officer, Digital Technologies Research Centre, National Research Council Canada
• Merrina Zhang, Program Director, Artificial Intelligence for Productivity Challenge Program, Digital Technologies Research Centre, National Research Council Canada

Moderator

• Oyedele Ola, Director of Research and Development, National Research Council Canada
• Chantal Barton, Director, Special Initiatives and Executive Advisor to the Vice President, Digital Technologies, National Research Council Canada