Description
Data + AI Summit is Databricks' annual conference for the data and AI community. It runs each year in San Francisco with a virtual attendance option, bringing together data engineers, data scientists, analytics and BI professionals, and AI practitioners from companies of all sizes.
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The event centers on more than 800 sessions covering data engineering, data warehousing, governance, analytics, application development, AI agents and broader AI topics. Sessions are led by a mix of Databricks staff, including the creators of Apache Spark and MLflow, and practitioners from companies such as Microsoft, PepsiCo, Mastercard, NVIDIA, Nasdaq, Virgin Atlantic, AstraZeneca and Warner Music Group, alongside AI companies including OpenAI, Anthropic, LangChain, LlamaIndex and crewAI.
Beyond sessions, the summit includes hands-on, instructor-led training and certification for attendees who want to build skills in specific tools, an expo floor, and social meetups for networking with other attendees. Technical content spans Databricks' own platform, including Delta Lake, Unity Catalog, Lakeflow, Databricks SQL and Lakebase, as well as open source projects such as Apache Iceberg, PyTorch, dbt, Trino and DSPy, and agentic AI systems more broadly.
The next edition is scheduled for June 21-24, 2027 in San Francisco, with sessions also available virtually and on demand for those who cannot attend in person. Its marketing theme for that edition, "Build Apps and Agents That Work," reflects a continued focus on turning AI agents and data pipelines into production systems rather than treating them as experiments. Past editions are recapped through on-demand video for anyone wanting a sense of the event's content and scale, and the site highlights session recordings from the 2025 summit as an example.
Individual sessions are organized loosely by track, such as Artificial Intelligence & Agents, Governance & Security, Application Development and Analytics & BI, with case-study talks from companies describing how they used Databricks tools in production, for example 7-Eleven's use of a GenAI maintenance assistant and adidas' work on an agent digital twin for governance and cost tracking.
Data + AI Summit is aimed at data engineers, data scientists, analytics leaders, AI and ML practitioners and technical decision-makers, rather than a general business audience. Attendance and training are ticketed, with separate options for the in-person event, virtual access, and on-demand viewing.
- CategoryOther AI Tools
Highlights
800+ sessions spanning data engineering, governance, analytics, applications and AI agents
Sessions from Databricks leadership and outside companies such as Microsoft, OpenAI and Anthropic
Hands-on, instructor-led training and certification tracks
Expo floor with sponsor and technology showcases
Networking meetups and social events for attendees
Virtual attendance and on-demand session access
Coverage of Databricks platform tools including Delta Lake, Unity Catalog and Lakeflow
Coverage of open source projects such as Apache Spark, MLflow, Apache Iceberg and PyTorch
Who Should Attend
- Learning new data/AI tools
- Professional certification
- Industry networking
- Remote learning
