About us
We are a community of founders, engineers, executives, and innovators interested in data infrastructure and platforming for Generative AI, multimodal models, and whatever comes next. Come hang out!
What this group is about & what we do
This group brings together founders, engineers, operators, and practitioners interested in data infrastructure and platforms for AI systems. We host regular in-person and online events focused on real-world discussions, knowledge sharing, and peer learning around data, AI, and emerging technologies.
We plan to host events on a monthly basis, including meetups, talks, and community discussions.
Who should join
This group is open to anyone interested in data, AI, and infrastructure — including engineers, product builders, founders, researchers, students, and professionals who want to learn, share experiences, and connect with others in the ecosystem.
Dues or fees
There are no membership dues or fees to join this group. Our events are free to attend unless otherwise stated for specific venues or partners.
Group affiliation
This is a community-driven and neutral group.
Upcoming events
1
Beyond the Framework: Architecting Infrastructure for Agentic AI
Data for AI, 883 N Shoreline Blvd d100 Mountain View, CA 94043, USA, Mountain View, CA, US# Data for AI Meetup January - Bay Area!
Agentic AI is moving from demos to production. While orchestration tools are evolving quickly, scaling autonomous agents in the real world reveals a deeper challenge: It’s an infrastructure and data strategy problem.
The industry is moving beyond "just another framework." With the launch of the Agentic AI Foundation (AAIF), the focus has shifted to the shared building blocks—compute, integration, and data context.
We’re bringing together pioneers from Anyscale and Datastrato to discuss:
- The Production Data Stack: What are the non-negotiable data foundations for long-running, autonomous agents?
- Context & Metadata: How to manage access, governance, and retrieval as data expands to vectors and multimodal assets?
- Reliable Execution: How must compute and runtime layers evolve to support multi-step agentic workflows at scale?
- Operational Patterns: Real-world lessons on building a neutral, open, and scalable agentic infrastructure.
Why Join Us? This is a community-driven, experience-based session for builders. No product pitches—just deep dives into the patterns and infrastructure required to make Agentic AI work in the real world.
Food, drinks, and networking with the Bay Area Data & AI engineering community.
The session is community-driven, experience-based, focusing on real-world lessons rather than product promotion.
## Event Agenda
5:30 PM – 6:00 PM Registration & Networking
6:00 PM – 7:55 PM Opening Remarks & Speaker Presentations
- 6:00 PM – Opening Remarks
- Andrew Dong, President @ Datastrato
- 6:05 PM – Talk 1 "Beyond Metadata: Enabling Agentic Data Platform with Apache Gravitino"
- Jerry Shao, Co-founder and CTO @ Datastrato
- 6:30 PM – Talk 2 "Ray: The Distributed Compute Engine for AI"
- Suman Debnath, Technical Lead, ML @ Anyscale
- 6:55 PM – Lightning Talk "Why Agentic AI Needs an Economic Layer: Payments, Marketplaces, and Trust"
- Karen Sheng, Chief Product Officer @ AIsa
- 7:05 PM – Talk 3 "What is a Context Graph? (A Follow-up to the Context Graph Manifesto)"
- Daniel Davis, Co-Founder and Evangelist @ TrustGraph
- 7:30 PM – Talk 4 "Your Agents Should Be Durable"
- Melissa Herrera, Senior AI Developer Advocate @ Temporal
7:55 PM – 9:00 PM Open Networking & Conversations
## About Data for AI
We are a community of founders, engineers, executives, and innovators interested in data infrastructure and platforming for Generative AI, multimodal models, and whatever comes next. Come hang out!
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