Databricks: Data + AI Summit San Francisco 2025

The Data + AI Summit 2025 is scheduled for June 9–12, 2025, in San Francisco. The event will take place at the Moscone Center, offering both in-person and virtual attendance options.

Organized by Databricks, this summit is expected to attract over 22,000 participants and will feature more than 700 sessions, keynotes, and training workshops. The conference aims to bring together professionals from the global data, analytics, and AI communities to discuss the latest advancements and trends in the industry.

Key Themes of Data + AI Summit 2025

• Data Warehousing: Strategies and tools for efficient data storage and retrieval, essential for data architects and engineers.
• Artificial Intelligence: Advances in AI technologies, focusing on practical applications for machine learning engineers and data scientists.
• Analytics and Business Intelligence: Techniques to derive actionable insights from data, relevant for business analysts and BI professionals.
• Data Strategy: Approaches to data management and governance, crucial for chief data officers and data strategists.
• Data and AI Governance: Frameworks ensuring ethical and compliant AI implementations, important for compliance officers and governance specialists.

Target Audience

• Data Engineers and Architects
• Machine Learning Engineers and Data Scientists
• Business Analysts and BI Professionals
• Chief Data Officers and Data Strategists

Databricks Product Offerings

• Data Intelligence Platform: A unified platform integrating data warehousing, AI, and analytics, facilitating seamless data workflows.
• Delta Lake: An open-source storage layer enhancing data lakes with reliability and performance for machine learning applications.
• MLflow: An open-source platform streamlining the machine learning lifecycle, from experimentation to deployment.
• Databricks SQL: A solution enabling business intelligence and analytics reporting directly on data lakes using standard SQL queries.
• DBRX: An open-source large language model designed for enterprises to build and customize AI applications efficiently.

Event Sponsors

• Microsoft
• Amazon Web Services (AWS)
• Google Cloud
• Intel
• Snowflake