Bridging Data and AI: The Agentic Future of Data Infrastructure
The next Data for AI Meetup dives into one of the hottest frontiers: how AI Agents and metadata-driven systems are reshaping the future of data infrastructure.
From building agentic data platforms to solving massive-scale performance challenges, this session combines technical insights and real-world experiences from leading teams like Pinterest and Uber. Whether you’re a data engineer, infrastructure builder, or AI practitioner, you’ll walk away with hands-on perspectives and open-source insights to design the next generation of data systems.
🍕 Drinks and food will be provided, along with plenty of time for networking and discussions with fellow builders.
Agenda & Topics:
5:00 PM – 6:00 PM: Registration & Networking
6:00 PM – 7:45 PM: Opening Remarks & Speaker Presentations
7:45 PM – 8:30 PM: Open Networking & Conversations
Topic 1: Re-Architecting Metadata for the Future – Lessons from Uber
Jack Song – Head of Data Platforms & AI, Engineering Director at Uber
→ Discover how Uber re-architected its metadata systems to manage 200B+ entries, enabling dual API support, reducing operational complexity, and preparing for future growth.Topic 2:From Hours to Seconds: How Pinterest Solved Their Biggest Data Performance Challenge
Speaker: TBA
→ Learn how a large-scale visual discovery platform accelerated partition listing on 130PB of data from hours to seconds. This session covers practical techniques such as delta-based partition strategies, centralized governance, and multi-engine optimization across Spark, Trino, and Flink—offering new perspectives on scalable metadata management.Topic 3: Bridging Data & AI: How AI Agents Transform Data Management
Jerry Shao -Co-founder and CTO of Datastrato
→ Explore how metadata-driven architectures (unified policies, job orchestration, statistics) enable autonomous and context-aware operations, moving organizations from manual processes to intelligent, agent-driven workflows.Topic 4: Building the Real-Time Lakehouse on AWS: A Unified Data Foundation for AI
Yuankai (Kevin) Shen - Senior Product Manager at VeloDB
→ The Real-Time Lakehouse combines the scalability of data lakes with the speed of real-time analytics. This session will demonstrate how AWS Glue, S3 Tables, and Apache Doris work together on AWS to power low-latency, AI-ready insights. A live demo will highlight how this unified stack supports intelligent query performance and next-gen data workloads.
Why Join?
✔ Get a first-hand look at cutting-edge approaches to AI-native data infrastructure
✔ Learn from real-world case studies at global scale
✔ Connect with peers in the data & AI community over food and drinks
Host together？
If you have suggestions for future discussion topics or are interested in sharing your own experiences at upcoming meetups, feel free to reach out—I’d love to hear from you!
👉 Connect with me on LinkedIn Yue Guo