DataHub May 2026 Town Hall: Context to Action with Grab, dltHub, and iFood
Power Agents. Ship Outcomes. With DataHub. Context to Action. Three teams sharing how they're putting DataHub to work — Grab, dltHub, and iFood — plus the DataHub Context Platform launch announcement. In this town hall, you'll hear how Grab evolved DataHub into an agentic context engine at hyperscale, how dltHub and DataHub work together as the open source AI data stack, and how iFood is rolling out DataHub's Analytics Agent in production. What's covered: iFood Spotlight → Alexandre Miyazaki on iFood's journey from 9,000+ personal AI agents to consolidated "Super Agents" — and what it took to bring DataHub's Analytics Agent into one of Brazil's largest tech companies. Grab Deep Dive → George Hurley and Aezo Teo on how Hubble — Grab's internal DataHub deployment — evolved from a metadata store for human analysts into an agentic context engine. 117 PB, 240,000 tables, where 30% of usage now comes from AI agents instead of humans hitting the UI. DataHub Context Platform Launch → Shirshanka Das unveils the DataHub Context Platform — the context layer that unifies technical metadata, business knowledge, and documentation so AI agents stop guessing and start getting it right. Connector Update → Maggie Hays on what's new in the latest OSS release — new connectors including dlt, Airbyte, Matillion, and ThoughtSpot, expanded semantic layer support, lineage improvements, and major performance gains. Highlights from 250+ ingestion PRs in April and May. dltHub Ecosystem Spotlight → Elvis Kahoro on agentic data engineering in Python — an end-to-end demo with Claude Code generating pipelines, dlt loading data, and DataHub providing context. Two open source projects, built to work together. Key takeaways: How Grab uses DataHub as the context engine powering their next-generation AI agents What it takes to roll out DataHub's Analytics Agent in production Why open source ecosystems matter — dltHub + DataHub as the connective tissue of the AI data stack Inside the DataHub Context Platform launch — what shipped and why it matters The latest from DataHub OSS — new connectors, semantic layer expansion, lineage improvements, and performance gains Featured speakers: 1. Alexandre Miyazaki — iFood 2. George Hurley — Grab 3. Aezo Teo — Grab 4. Shirshanka Das — DataHub (CTO & Co-Founder) 5. Maggie Hays — DataHub (Founding Product Manager) 6. Elvis Kahoro — dltHub Resources: 1. DataHub Context Platform: https://datahub.com/products/context-platform/ 2. Founder Blog: https://datahub.com/blog/announcing-datahub-context-platform/ 3. Learn More on Context Management: https://datahub.com/learn/context-management/ 4. Analytics Agent (Open Source): https://github.com/datahub-project/analytics-agent 5. Join our Slack: https://datahub.com/slack FIND MORE ABOUT DATAHUB 🚀 Join the DataHub open source community ▶︎ https://hubs.la/Q03YmhK20 🔍 Take the DataHub interactive product tour ▶︎ https://hubs.la/Q03Ymjqp0 ➡️ Explore DataHub's blog for top data and AI insights ▶︎ https://hubs.la/Q03YmjLN0 KEEP IN TOUCH! X: https://x.com/DataHubCloud LinkedIn: https://www.linkedin.com/company/datahub-cloud/ Chapters: 0:00 Welcome & Community Updates 05:08 Agenda & Speaker Introductions 06:20 iFood Spotlight: Analytics Agent in Production 15:30 Grab Deep Dive: From Metadata Store to Agentic Context Engine 32:15 DataHub Context Platform Launch 41:12 Connector Update: What's New in OSS 51:17 dltHub Ecosystem Spotlight: Agentic Data Engineering in Python 1:13:22 Closing Remarks