Building an AI-Ready Data Stack: Integrating Lakehouse & Catalog

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

Description:
In todays AI-driven world, data fragmentation is the biggest barrier to building intelligent systems. Join VeloDB and Datastrato for an in-depth session on how modern data architectures are evolving to support unified, AI-ready analytics.

In this session, Rayner Chen (VP of Engineering, VeloDB) will explore how catalogs break down data silos and enable truly unified analytics across lakehouse environmentssharing best practices for integrating structured and streaming data into a single, high-performance stack. Then, Jerry Shao (Co-founder & CTO, Datastrato) will dive into the role of metadata catalogs as context, showing how rich metadata and governance frameworks can power and control the next generation of AI applications.

Whether youre building large-scale analytics platforms or preparing your organization for AI, this session will give you the architectural insights and practical frameworks to build a cohesive, AI-ready data stack.

• Breaking Data Silos with Catalogs: How to Build Unified Analytics (Speaker: Rayner Chen, VP of Engineering@VeloDB)
• Catalogs as Context: Using metadata to power and govern the next wave of AI development (Speaker: Jerry Shao, Co-founder and CTO@Datastrato)

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