Description
The Databricks Data + AI Summit 2026 is positioned as the premier global event for professionals immersed in data, analytics, and artificial intelligence. This conference serves as a central hub for the international data and AI community, bringing together thousands of practitioners, leaders, and visionaries.
The summit offers an extensive program featuring over 800 sessions that span the entire spectrum of data intelligence. Topics range from foundational areas like data engineering, warehousing, and governance to advanced subjects such as analytics, application development, AI agents, and cutting-edge AI technologies. Attendees will gain insights into the latest advancements and trends shaping the future of data and AI.
A significant draw of the Data + AI Summit is the opportunity to explore and learn about the newest technologies. This includes deep dives into Databricks' own innovations like Delta Lake, Apache Iceberg™, Apache Spark™, MLflow, Unity Catalog, Lakeflow, Databricks Apps, Databricks SQL, and Lakebase. Furthermore, the conference will cover emerging areas such as agentic AI systems, AI/BI, and popular open-source frameworks like DSPy, LangChain, PyTorch, dbt, and Trino.
Networking is a core component of the summit, providing attendees with ample opportunities to connect with thousands of peers from the global data and AI community. These interactions can foster professional growth through social meetups, the Expo hall, and exclusive event parties. The event also emphasizes skill enhancement, offering instructor-led training sessions and hands-on labs designed to boost expertise and provide onsite certifications.
The target audience for the Data + AI Summit is broad, encompassing AI/machine learning engineers, data scientists, data engineers, app developers, database administrators, business executives, IT decision-makers, product managers, entrepreneurs, and investors. The value proposition lies in providing a comprehensive platform to understand the convergence of data and AI, discover new technologies, build valuable connections, and advance professional capabilities in the rapidly evolving field of data intelligence.
Highlights
Over 800 sessions covering data engineering, warehousing, governance, analytics, applications, agents, and AI.
Exploration of latest technologies including Delta Lake, Apache Iceberg, Apache Spark, MLflow, Unity Catalog, and more.
Focus on agentic AI systems, AI/BI, and open-source frameworks like DSPy, LangChain, PyTorch, dbt, and Trino.
Networking opportunities with thousands of peers from the global data and AI community.
Instructor-led training sessions and hands-on labs for skill enhancement.
Onsite certification courses available.
Keynote presentations from leading experts and industry figures.
Virtual access option for remote participation.
Expo hall featuring sponsors and technology showcases.
Featured speakers include leaders from Databricks, Microsoft, OpenAI, PepsiCo, Mastercard, NVIDIA, and more.
Sessions on building apps and agents that work.
Content on data governance at scale and building commercial lakehouses.
Discussions on AI-driven analytics and business intelligence.
Who Should Attend
- AI Agent Development
- Data Engineering
- Data Warehousing
- Data Governance
- Analytics and BI
- Application Development
- Machine Learning Operations
- Open Source Frameworks
