Data Analytics in the Agentic AI Era: From User-Facing to Agent-Facing

AI agents are changing how we interact with data, from Text2SQL (which converts natural language requests into SQL queries) to data agents capable of executing business tasks end-to-end.

Join VeloDB and AWS for a webinar where we'll show you how to build a data infrastructure that's prepared for the Agentic AI era.

What We'll Discuss:

• Live demo of Apache Doris 4.0: See how vector search, hybrid search, and AI functions are seamlessly integrated into standard analytical SQL workflows. Eliminate the need for external systems for AI workloads and simplify your data architecture.
• Discover how to leverage AWS services to build data agents using MCP servers, and how to build a domain-specific data agent from scratch.

Speakers

Zhang Wenju

Senior Solutions Architect at AWS

Dr. Zhang Wenju is a Solutions Architect at Amazon Web Services (AWS), specializing in Generative AI and data architectures. With a Ph.D. in Computer Science from Shanghai Jiaotong University, He focuses on helping customers design and deploy intelligent systems that leverage AWS's AI/ML and data services. His recent work centers on building scalable Agentic AI solutions, including terminal, research, and data agents.

Owen Xiao

Apache Doris PMC & Product VP at VeloDB

Owen, also known as "Kang" in the Apache Doris community (on Slack and GitHub), is an expert in semi-structured data analysis. He has spearheaded the development of many key features in Apache Doris, including the VARIANT data type.