Session 10-D
Financial Services Meets AI: Implementing Scalable Data Governance in Highly Regulated Industries
Data governance is a critical pillar of enterprise AI strategy, yet many organizations face challenges in scaling these efforts effectively. According to the Gartner Chief Data and Analytics Officer Agenda Survey for 2024, 89% of CDAOs identified effective data and analytics governance as essential for driving both business and technology innovation. At Carson Group, a financial services company with a small, non-dedicated governance team, we’ve taken a step-by-step approach to data governance, aligning with the organization’s evolving needs and appetite.
Our journey began with data tagging to improve visibility and control, then progressed into defining AI concepts and building data lineage. Today, we’re focusing on governed AI to enhance data integrity, accessibility, and compliance.
This session will walk through our chronological approach, highlighting how AI has reduced manual overhead and fostered collaboration across teams. From automated tagging of sensitive data like Personally Identifiable Information (PII) to AI-driven business glossaries, we’ve minimized reporting time and enhanced semantic consistency.
In this fireside chat, we’ll explore how AI augments governance without replacing human oversight and share insights on building scalable, adaptable governance frameworks in data-heavy, highly regulated environments.
Speaker
LEANNE BALL
VP of Data and Analytics, Carson Group
INNA TOKAREV SELA
CEO and Founder, illumex