Day One: Tuesday, February 4, 2025
10:30 EST
15 minWelcome and Opening Remarks from the Chair
10:45 EST
60 min
Beyond the Basics: Unpacking the CDO's Core Accountabilities
Jorge Acevedo, Director Data Management, Exchange Bank of Canada
- Drive strategic data initiatives to align with organizational goals and unlock value across departments.
- Oversee data governance frameworks to ensure compliance, data quality, and risk management.
- Champion data-driven decision-making by fostering a culture of analytics and insights within teams.
11:45 EST
60 min
Bridging Data and AI Governance: Shared Foundations, New Challenges
Mai Mavinkurve, Founding Partner, Prosperity Global Services
- Analyze the shared foundations between data governance and AI governance to create cohesive strategies.
- Address emerging challenges unique to AI governance, such as ethical risks and bias.
- Implement best practices that ensure compliance, accountability, and trust across both data and AI landscapes.
12:45 EST
45 minBreak
13:30 EST
60 min
Change Management - A Reality Check
Andrew K. Geider, Records & Information Specialist, City of Burnaby
Hear how a city applied change management strategies when implementing an
electronic records management system (ERMS). The session discusses how to prepare
employees for such a change; the importance of training; the steps in the change
management process; what worked and what did not; and why some such projects have failed.
- Explore key change management strategies used in the successful implementation of an electronic records management system (ERMS).
- Examine the steps taken to prepare employees for change, highlighting the role of effective training and communication.
- Analyze lessons learned from what worked, what didn’t, and why some similar projects have failed.
14:30 EST
60 min
Data and Metadata Governance: The Clue and the Glue for Ensuring Better Quality, Interoperability, Utility, and Success with Artificial Intelligence
Sherin Emmanuel, Enterprise Information Data Architect and Strategist, Canada Revenue Agency
- Understand the critical significance of Enterprise Data and Metadata that can enable an organization to be “future proof” in a rapidly changing environment.
- Learn about pragmatic ways to proactively prioritize what we need to govern as opposed to the reactive practices that prevail.
- Comprehend the need for building data and metadata stewardship and accountability models that endure over time.
- Grasp the significance of data and metadata governance for success in Business Intelligence(BI) and in Artificial Intelligence(AI).
- Connect the dots between our data and metadata governance strategy and the discoverability of our content by internal (organization, Government) and external (Citizens) audiences.
15:30 EST
60 min
GC Data Standards: Essential Lists You May Have Missed
- Identify key data standards essential for compliance and consistency.
- Implement missing standards to enhance data integrity and accessibility.
- Streamline data management processes by filling gaps in existing standards.
16:30 EST
Closing Remarks from the Chair
Day Two: Wednesday, February 5, 2025
10:30 EST
minWelcome and Opening Remarks from the Chair
10:30 EST
60 min
Pragmatic *And* CapEx-Friendly Data Governance
William (Bill) Carroll, Data Governance Lead, Public Services and Procurement Canada
- Why data governance? and a Capability Maturity Model are described.
- A one-sentence strategy statement and a one-sentence strategic goal prevents startup paralysis in your data governance program.
- A simple process model with six Business-As-Usual (BAU) tactical activities matched to supporting metadata is described.
- A data stewardship model shows how business-led data governance is delivered
Links to free software.
11:30 EST
60 min
Developing Policy to Enhance Information and Data Governance
Gabby Noble, Information and Data Governance Policy Analyst, Treasury Board of Canada
- Build foundational levels of data management and stewardship through the implementation of best practices.
- Develop policy iteratively with users in mind to build trust and deliver stronger data governance practices.
- Support data-driven decision-making by applying the FAIR principles to improve.
- Data discovery, and interoperability reusability.
12:30 EST
45 minBreak
13:15 EST
60 min
Responsible and Ethical Data Use in the Age of AI
Grace Lee, Senior Specialist, Canada Mortgage and Housing Corporation
- Implement robust data governance frameworks to ensure compliance with privacy regulations and ethical standards.
- Educate teams on the principles of bias mitigation and transparency in AI systems to foster accountability.
- Monitor AI applications continuously to identify, address, and prevent unintended consequences or misuse of data.
14:15 EST
60 minAsk Me Anything: Data Governance and AI
- Explore the intersection of data governance and AI to ensure ethical and efficient data management practices.
- Demystify complex AI concepts and their implications for data governance through an open Q&A session.
- Share actionable insights on integrating robust governance frameworks with AI technologies to drive innovation responsibly.
15:15 EST
60 min
… Is Your Data Governed?
Crystal Sewards, Special Advisor, Office of the Chief Data Officer, Statistics Canada
Why is data and information governance and oversight so important and why is it so important right now? This presentation will discuss the principles of data and information governance to ensure holistic and horizontal data management to enable data use, reuse and most importantly, data integration and sharing.
- Data governance frameworks with logical process flows and alignment to organizational priorities to ensure understanding and buy-in.
- Data governance policies, guidelines and roles – policy and role-based access to data and information to maintain trust, confidentiality and data security.
- Adaptable data governance programs to respond to an ever-changing data ecosystem.
- Compliance and performance measurement with obtainable goals and timelines for program areas to become compliant.
- Data governance resources, including tools and technology which respond to the data value chain and a culture of continuous learning.
16:15 EST
Closing Remarks from the Chair