Data Democratization enables individuals or teams across an organization to use, transform and analyze data, relying on various technologies and tools to do so. These are bottom-up – or “democratized” – initiatives that are driving innovation and value. This includes development of Data Products that give business users greater context for their needs, as well as new opportunities driven by Generative AI and Large Language Models (LLM).
This executive boardroom session discuss the foundational requirements of developing data democratization and data productization to support business outcomes and the potential opportunities for leveraging Generative AI as an accelerator for data management and analytics teams.
Pankaj Agrawal, Aurora Cannabis Inc., Director - Business Intelligence and Analytics
Chris Allison, Public Health Agency of Canada | Agence de la santé publique du Canada, Chief Data Officer and Director General - Data Management, Analysis and Innovation
Rohin Bansal, Telus, Director of Data Governance
Paul Childerhose, EDM Council, Canadian Regional Advocate
Clare Gora, Trinity Life Sciences, Vice President, Head of Analytics Client Development
Todd Henley, Northwest Bank, VP, Chief Data Governance and Privacy Officer
Qahir Rajwani, Healthcare of Ontario Pension Plan, Director Data Science and Analytics Solutions
Cal Rosen, SGI CANADA Insurance, Chief Data Officer
Mike Meriton, EDM Council, Co-Founder