The rapid adoption and encroachment of generative AI, machine learning, and natural language processing is impacting multiple areas of our personal and professional lives. How, specifically, are these technologies impacting the research sector? What parts of the research process have become more efficient, and what key research tasks, might be displaced? Could it be that researchers or analysts might even be replaced? How can current or prospective researchers prepare themselves to adapt to the changing research landscape?
SVP Canada Client Organization | Ipsos
The Ipsos Client Organization is focused on working with selected client organizations to help build their business and achieve their objectives. Client officers are responsible for connecting the dots between the different stakeholder groups in both the client and the Ipsos organizations, providing context, meaning and facilitating action all with the goal of augmenting the value Ipsos delivers.
Paul joined Ipsos in 2020 in Canada where he has worked primarily with CPG clients; providing advice and information support. Prior to joining Ipsos he has consulted and worked for some of the world’s leading companies including BRP, Unilever, The Home Depot, Ferrero, Diageo, Sapporo and Nike.
Executive Vice President | Dig Insights
Kevin is an Executive Vice President with Dig Insights. He leads a group of client-facing research teams that design custom research for clients across a range of industries including financial services, consumer packaged goods, telecommunications and food and beverage manufacturers. Prior to joining Dig, he led research for Rogers Communications including Insights for the communications, enterprise and media business units. He has been a featured presenter at numerous conferences including Quirks, MRIA National Conference, Association for Home Appliance Manufacturers (AHAM), Cable & Telecommunications Association for Marketing (CTAM), and as a guest speaker for Special Olympics Canada.
Professor of Artificial Intelligence | Humber College
Ibrahim Tamim is a Professor of Artificial Intelligence at Humber College, specializing in machine learning, software development, and the enhancement of 5G and 6G networks. He earned his Ph.D. in Software Engineering from Western University, London, Canada, and has made significant contributions to networking and machine learning. His research focuses on developing optimization and machine learning strategies to enhance network reliability, security, and performance, leading to publications in prestigious IEEE conferences and journals. Beyond academia, he is an experienced engineer who has worked extensively with Ciena and the National Research Council (NRC) Canada, applying his expertise to real-world challenges.
Senior Manager, Customer Insights | The Home Depot Canada
Research & Evaluation Specialist | John Howard Society of Ontario
Research & Evaluation Analyst| John Howard Society of Ontario
Senior Research Manager | BrandSpark International
Senior Research Manager | BrandSpark International
Manager, Customer Research | Canadian Tire Corporation
CPA, Managing Director | Talent Advantage
Date: |
Friday, March 22, 2024 |
Time: |
10:00 AM to 1:00 PM (EDT) |
Format: |
Hybrid (BCT 5th Floor or Teams) |
Cost: |
Free |
Registration: |
Closed |
10:00 am |
Welcome, Land Acknowledgement, Opening remarks |
10:15 am |
Panel discussion with industry guests: |
11:00 am |
Q & A |
11:15 am |
Placement Organization Appreciation |
11:30 am |
Lunch, Poster Review and Networking with industry hosts: |
1:00 pm |
Closing Remarks |
Mike Wells, Acting Associate Dean, Math and Research Skills & Analysis
Mike.Wells@humber.ca
Michelle Jordan, Associate Dean, Math and Research Skills & Analysis
Michelle.Jordan@humber.ca
Mary Takacs, RAP Program Coordinator
Mary.Takacs@humber.ca
Bhavi Gandhi, RAP Placement Advisor
Bhavi.Gandhi@humber.ca
Karen Palomo, RAP Placement Advisor
Karen.Palomo@humber.ca
Wanyuan Sheng, Program Support Officer
Wanyuan.Sheng@humber.ca
Amanda Phillips, Program Support Officer
Amanda.Phillips@humber.ca