Building an AI-Ready Data Stack: Integrating Lakehouse and Catalog for Unified Intelligence

As AI and agents continue to reshape how companies interact with data, unifying data across data lakes, data warehouses, and AI systems is now the key to unlocking reliable, context-rich insights.

Join us for a webinar to explore how modern data catalogs and lakehouse architectures can work together in an AI-ready data stack, helping you to eliminate data silos, deliver consistent data insights, and build a truly AI-ready architecture.

Agenda

Topic 1: Breaking Data Silos with Catalogs: How to Build Unified Analytics
Speaker: Rayner Chen, Apache Doris PMC Chair and VP of Engineering @VeloDB

Topic 2: Catalogs as Context: Using metadata to power and govern the next wave of AI development
Speaker: Jerry Shao, Co-founder and CTO @Datastrato

Speakers

Rayner (Mingyu) Chen

Apache Doris PMC Chair and Vice President of Technology at VeloDB

Rayner (Mingyu) Chen is the Apache Doris PMC Chair and Vice President of Technology at VeloDB. Throughout his years of contributions to Apache Doris, he has nurtured the project's flourishing development and community growth while helping to advance the technical innovations of Apache Doris.

Jerry Shao

Co-founder and CTO at Datastrato

Jerry Shao is the co-founder and CTO of Datastrato, with over 10 years of experience in the open-source big data area. He is an Apache member, committer, and PMC member of Apache Gravitino, Apache Spark, and Apache InLong, and the creator of the Apache Uniffle project.