Sasha is accountable for enabling the Digital Division at OLG with BI, Predictive Modelling and Machine Learning, centered on being player obsessed and revenue focused. In a previous role, Sasha was part of the team that developed a novel approach to recommending media advertisements using machine learning and advanced deep learning algorithms that is being used at multiple retailers across Canada today. Besides her life as a data scientist, she is an avid believer and active contributor in growing her community. Sasha is on the leadership team of Data for Good, ensuring non-profits can harness the combined strength of data do-gooders across the Waterloo region.
Day 1: Oct 14, 2025
8:40 am
OPENING COMMENTS FROM YOUR HOST
Gain insight into today’s sessions so you can get the most out of your conference experience.
9:30 am
C-SUITE PANEL: ACHIEVING DATA & AI MATURITY
Drive Public Sector Innovation Through Effective Governance
A strong data governance framework is the foundation for achieving data maturity, enabling organizations to harness the full potential of their data assets while ensuring compliance, security, and trust. Take back to your office strategies to:
- Optimize data sharing agreements and address privacy limitations to empower your teams.
- Navigate the absence of governance standards in the cloud.
- Foster a data-driven culture that aligns business objectives with data management best practices.
Advance your organization’s journey to data maturity and unlock long-term value from your analytics investments.
1:45 pm
PANEL: MODERNIZING LEGACY SYSTEMS
Driving Innovation by Bridging the Gap Between Traditional Infrastructure and Cutting-Edge Technology in the Public Sector
Public sector organizations in Canada face the challenge of integrating AI-driven analytics into legacy data systems that were not designed for modern innovation. Optimize existing infrastructure and organizational culture to support AI adoption while maintaining safety, policy compliance, and positive citizen outcomes. Adopt best practices to:
- Strike the right balance between short-term iteration and long-term data transformation.
- Leverage hybrid cloud, APIs, and data pipelines for seamless integration with modern AI tools.
- Optimize guardrails and AI policies to support the safe and compliant use of low-code, no-code, and other democratization tools.
Perfect your data infrastructure incrementally to support seamless AI integration, enhance service delivery, and maintain trust in public sector outcomes.
Day 2: Oct 22, 2025
