Summit 2025Recap

Financial institutions rely on data for decision-making, but simply centralizing it for analytics is just the tip of the iceberg. The true challenges lie in effective data storage, quality assurance, access control, seamless sharing and consumption, and timely notifications for downstream processes. Our Legend Lakehouse solution directly addresses these complexities. Join us for a discussion about how Goldman Sachs utilizes Apache Iceberg and Snowflake, Legend data models, functions and SDLC to build a secure and highly governed open lakehouse.

Hear expert data leaders from top financial services firms share insights on navigating the opportunities and challenges of becoming AI-ready with data + AI observability. 

To meet stricter compliance and reporting requirements, banks must prioritize customer risk data and customer experience, maintaining trusted data management across diverse sources.