INDUSTRY EXPERIENCE
Tech
Event Sponsors
Join us in San Francisco on June 9–12. Leading tech innovators and platform owners will share insights on how to:
- Scale the Data Intelligence Platform
Take a look at how the larger tech landscape pushes the limits of the lakehouse architecture and find out how to scale the impact of data and AI. - Democratize Data and AI
Discover what gets built when more product and business teams get access to data — and why the right data security, tagging and governance gives you granular control over data. - Build for Tomorrow
Openness, portability and sharing fuel the creation of new products. From strategic insights to demos to lessons learned — we’ll share a blueprint on how to build.
Featured speakers
Hear from leading experts, engineers and open source contributors — from Databricks, across the data and AI community and top tech companies — who will speak at Data + AI Summit.
Jason
Reid
Co-founder of Tabular and Director of Product Management,
Databricks
Miranda
Luna
Sr. Manager, Product Management,
Databricks
Adrian
Bolosan
Sr. Director, Data Collaboration,
Databricks
Reynold
Xin
Co-founder and Chief Architect,
Databricks
Maximize your Summit
Data + AI Summit is the global event for the data community, where practitioners, leaders and visionaries across industries gather to shape the future of data, analytics and AI.
Forums
Learn from the most innovative data leaders in the tech industry with keynotes and panel discussions.
Connect with data and AI leaders, senior engineers and architects driving innovation at scale
Explore real-world use cases of advanced analytics powering leading tech platforms
Learn proven strategies from technical leaders who’ve delivered measurable outcomes with data, analytics and AI
Topics
Join thousands of leaders and experts across infrastructure, engineering, AI and product who will unpack the latest trends in data and AI for tech.
LAKEHOUSE ARCHITECTURE
Unified Data and AI
The Databricks Data Intelligence Platform frees you from siloed architectures, allowing your teams to build, scale and ship better AI. Learn how you can achieve cost savings and speed up the time to turn raw data into actionable insights at scale.
BUILT-IN INTELLIGENCE
Data Intelligence for All
Transform and analyze data in minutes — not days. Databricks empowers teams to quickly access data in notebooks, models, dashboards and apps. Engineers can use their preferred programming languages, while business users can gain insights using natural language.
ALL IN ON OPEN
Open Ecosystem Approach
The future of data and AI is open. Databricks provides a unified, multicloud platform for pipelines, analytics, apps and AI. Built-in governance ensures secure data sharing across teams and partners while maintaining control, compliance and flexibility.
Session previews
Take a peek at some of the upcoming sessions we’re extra excited about.
/* showing 1 – 18 out of 524 sessions */
A Comprehensive Guide to Streaming on the Data Intelligence Platform
A Practical Roadmap to Becoming an Expert Databricks Data Engineer
A Practitioner’s Guide to Databricks Serverless
A Prescription for Success: Leveraging DABs for Faster Deployment and Better Patient Outcomes
A Unified Solution for Data Management and Model Training With Apache Iceberg and Mosaic Streaming
Accelerate End-to-End Multi-Agents on Databricks and DSPy
Accelerating Analytics: Integrating BI Tools to Databricks SQL
Accelerating Data Ingestion with New Innovations in Auto Loader’s Performance and Schema Evolution
Accelerating Data Transformation: Best Practices for Governance, Agility and Innovation
Accelerating Model Development and Fine-Tuning on Databricks with TwelveLabs
Achieving AI Success with a Solid Data Foundation
Achieving Precision in AI: Retrieving the Right Data Using AI Agents
Adobe’s Security Lakehouse: OCSF, Data Efficiency and Threat Detection at Scale
Advanced Governance and Auth With Databricks Apps
Advanced Machine Learning Operations
Advanced RAG Overview — Thawing Your Frozen RAG Pipeline
Page
/* showing 1 – 18 out of 524 sessions */