Open Source in Finance Forum Toronto 2026

The gap between AI research and production deployment in financial services is not primarily a technical problem - it is a structural one. Drawing on Vector Institute's co-development experience across 500+ use cases and more than 200 organizations, this session explores how a collaborative approach can compress that gap, under what conditions transparency becomes a competitive asset, and where risks lie, from cybersecurity exposure to the governance challenges that open models surface rather than create.