Databricks Sets June 2026 Dates for Data + AI Summit, Confirms Moscone Center Return

Databricks has locked in the schedule for its next Data + AI Summit: June 15 through 18, 2026, back at the Moscone Center in San Francisco. The four-day run, from 8:00 AM on opening day through 6:00 PM on the closing session, signals the company's continued bet on an in-person flagship event even as much of the industry has shifted toward hybrid or virtual-first formats.

The summit's agenda centers on four pillars that have defined Databricks' product roadmap in recent years: the Lakehouse Platform, generative AI, MLOps, and open-source tooling. That focus reflects where the company has been placing its engineering and marketing weight, positioning the Lakehouse architecture as the connective layer between raw data infrastructure and the generative AI applications enterprises are racing to deploy.

Attendance is aimed squarely at practitioners rather than casual observers. Data engineers, data scientists, ML engineers, and analytics leaders make up the core target audience, consistent with the summit's history as a technical gathering rather than a purely executive-facing conference. Expect deep dives into pipeline architecture, model deployment practices, and the kind of open-source project updates that Databricks has used past summits to unveil, including previous milestones tied to Delta Lake, MLflow, and its Spark lineage.

Leadership presence adds weight to the announcement. Ali Ghodsi, Databricks' CEO and co-founder, is confirmed to participate, continuing his role as the summit's central voice on company strategy and product direction. Also confirmed is Greg Brockman, President and co-founder of OpenAI, whose appearance underscores the increasingly tight relationship between data infrastructure vendors and frontier AI labs. As enterprises look to fine-tune and deploy large language models against their own proprietary data, the pairing of a data platform executive with an OpenAI co-founder on the same stage is a fairly direct signal of where the conference's generative AI programming will lean.

The choice of Moscone Center keeps the event in a venue Databricks has used before, avoiding the logistical churn of a new city and giving returning attendees a familiar layout for the expo floor, breakout sessions, and keynote hall. With roughly eight months of lead time before the event, further speaker announcements, session tracks, and product previews are likely to roll out incrementally as the date approaches.

For an event that has grown into one of the larger annual gatherings in the data and AI space, the June 2026 dates give enterprise teams a fixed point to plan around, whether that means budgeting travel, coordinating internal roadmap reviews, or timing product launches to coincide with the industry's attention being focused on San Francisco for the week.