Data + AI Summit 2027

Data + AI Summit 2027, Databricks' flagship conference, runs 21-24 June 2027 in San Francisco with a virtual track alongside the in-person event. Databricks states the programme will carry more than 800 sessions spanning the full spectrum of data intelligence — data engineering, warehousing and governance through analytics, applications, agents and AI. The conference is held at the Moscone Center at 747 Howard Street, using Moscone North, West and South. A full conference pass covers keynotes, the Expo, breakout sessions, networking events and virtual access, and the event runs instructor-led training and onsite certifications alongside the main programme. The audience is the working data and AI population — data engineers, data scientists, developers, analysts, ML practitioners and researchers — rather than a purely executive gathering.

Date

June 21–24, 2027

Location

Moscone Center (North, West and South), San Francisco, California

Format

Hybrid

Event Type

Summit

Status

Upcoming

Pricing

Paid

Organizer

Databricks

Added

Aug 9, 2026

Updated

Aug 9, 2026

• ✓Chief Data Officers
• ✓VPs of Data and Analytics
• ✓Data engineers
• ✓ML and MLOps practitioners
• ✓Data scientists and analysts
• ✓Platform and application developers
• ✓Data governance leads

This is the one week a year where a data platform team can pressure-test an entire architecture in person — lakehouse design, governance model, streaming, MLOps and the agent layer now being bolted on top — against 800+ sessions and the engineers who built the products. A CDO or VP of data leaves with a concrete read on which parts of their roadmap the platform will absorb natively versus what stays custom, plus onsite certifications for the team and a virtual pass so the people who stayed home see the same material.

• ✓800+ sessions spanning data engineering, warehousing and governance through analytics, applications, agents and AI
• ✓Keynotes included in the full conference pass
• ✓Expo floor of data and AI vendors
• ✓Breakout session programme across the full data-intelligence spectrum
• ✓Instructor-led training delivered onsite
• ✓Onsite certification exams
• ✓Virtual access bundled into the full conference pass

• ★At 800+ sessions it is one of the largest single-vendor data and AI programmes anywhere, and it covers the whole chain in one place — engineering, warehousing, governance, analytics, applications and agents
• ★Instructor-led training and onsite certifications run alongside the conference, so a team can leave credentialed rather than just briefed
• ★The full conference pass includes virtual access as standard, which lets a team send one person in person and follow the rest remotely
• ★Occupies all three Moscone buildings (North, West and South) in San Francisco, and the 2027 edition is already dated a year ahead

Ticket prices for the 2027 edition are not published yet. Databricks states only what the pass covers: the full conference pass includes keynotes, the Expo, breakout sessions, networking events and virtual access, with instructor-led training and onsite certifications available alongside.

When is Data + AI Summit 2027?

Data + AI Summit 2027 takes place June 21–24, 2027 in San Francisco, California.

Where is Data + AI Summit 2027 held?

Data + AI Summit 2027 is held in San Francisco, California. The event format is hybrid.

How much does Data + AI Summit 2027 cost?

Data + AI Summit 2027 is paid. Ticket prices for the 2027 edition are not published yet. Databricks states only what the pass covers: the full conference pass includes keynotes, the Expo, breakout sessions, networking events and virtual access, with instructor-led training and onsite certifications available alongside.

Who should attend Data + AI Summit 2027?

Data + AI Summit 2027 is aimed at Chief Data Officers, VPs of Data and Analytics, Data engineers, ML and MLOps practitioners, Data scientists and analysts, Platform and application developers, Data governance leads.

What topics does Data + AI Summit 2027 cover?

Data + AI Summit 2027 covers Data Engineering, Data Warehousing, Data Governance, Lakehouse Architecture, Generative AI, AI Agents, Production ML and MLOps, Analytics and Business Intelligence.

This page was written from 3 sources, 1 on domains other than databricks.com.

1. 1.databricks.com — dataaisummitvendor
2. 2.databricks.com — faqvendor
3. 3.clocate.com — 94973