Jessie Smith

As a regulated insurer, Enact Mortgage Insurance relies on Snowflake for analytics, regulatory reporting and AI strategy. To ensure trusted, AI-ready data, Enact built a governance program combining data quality and observability to monitor pipelines, enforce standards and surface issues before impacting downstream outcomes. In this session, Enact will share how they scaled this model across datasets and lessons for regulated organizations operationalizing governance in Snowflake. Jessie Smith, VP of Data Quality, will demonstrate how Ataccama’s data trust platform with Snowflake enables audit-ready, AI-ready data and how MCP allows agents to securely access governed data.

In a regulated bank, AI is only as reliable as the data feeding it. Truist is building that foundation on Snowflake with Ataccama, starting with FDIC regulatory reporting, and embedding a data trust layer into the Snowflake medallion architecture. Now they're expanding further, migrating more of their data estate into Snowflake, rolling the architecture across additional regulatory programs, and building toward the point where Cortex AI runs on data they already trust. Their team shares what they built, where they're taking it and what any regulated institution needs to prioritize to get there.

As enterprises adopt AI-driven automation, data trust can’t remain a downstream governance task. In this session, Blue Cross Blue Shield of North Carolina shares how it’s modernizing its data architecture and exploring automated data trust to enable faster, scalable decisions. Learn why agentic AI requires trust before action, how automation reduces manual data quality work, and what this means for regulated enterprises at scale.

AI can only deliver real impact when built on accurate, trusted data. Without strong data quality and governance, AI models underperform, insights fall short and opportunities are lost. Join Jessie Smith, VP of Data Quality at Ataccama, as they share how enterprises are using Ataccama Data Quality and its pushdown processing to fuel trustworthy AI initiatives — from automating data cleansing at scale to continuously monitoring data pipelines for quality drift. With Ataccama and Snowflake, organizations can scale AI confidently, ensuring reliable insights, better decisions and real business value.