As organizations aim to be more data-driven, integrated, scalable, and collaborative platforms are vital. Azure Databricks delivers unified data analytics for processing, AI, and real-time insights. Its full potential emerges within the integration with the Microsoft ecosystem. This session shows how Azure Databricks serves as the data and AI backbone while empowering users to leverage Microsoft solutions like Power BI, Power Apps and Microsoft Foundry for advanced, real-time decision-making.

Discover how the latest innovations in Databricks AI/BI Dashboards and Genie are transforming self-service analytics. This session offers a high-level tour of new capabilities that empower business users to ask questions in natural language, generate insights faster and make smarter decisions. Whether you're a long-time Databricks user or just exploring what's possible with AI/BI, you'll walk away with a clear understanding of how these tools are evolving — and how to leverage them for greater business impact.

Discover the latest advances on the Data Intelligence Platform and hear from the companies who are already enjoying success.

Join us for this session focused on how leading tech companies are enabling data intelligence across their organizations while maintaining cost efficiency and governance. Hear the successes and the challenges when Databricks empowers thousands of users—from engineers to business teams—by providing scalable tools for AI, BI and analytics. Topics include: Combining AI/BI and Lakehouse Apps to streamline workflows and accelerate insights Implementing systems tables, tagging and governance frameworks for granular control Democratizing data access while optimizing costs for large-scale analytical workloads Hear from customers and Databricks experts, followed by a customer panel featuring industry leaders. Gain insights into how Databricks helps tech innovators scale their platforms while maintaining operational excellence.

Speakers: Ken Wong, Sr. Director of Product Management, Databricks Miranda Luna, Product Management, Databricks

Many organizations rely on complex cloud data architectures that create silos between applications, users and data. This fragmentation makes it difficult to access accurate, up-to-date information for analytics, often resulting in the use of outdated data. Enter the lakehouse, a modern data architecture that unifies data, AI, and analytics in a single location.

This session explores why the lakehouse is the best data warehouse, featuring success stories, use cases and best practices from industry experts. You'll discover how to unify and govern business-critical data at scale to build a curated data lake for data warehousing, SQL and BI. Additionally, you'll learn how Databricks SQL can help lower costs and get started in seconds with on-demand, elastic SQL serverless warehouses, and how to empower analytics engineers and analysts to quickly find and share new insights using their preferred BI and SQL tools such as Fivetran, dbt, Tableau, or Power BI.

Talk by: Miranda Luna and Cyrielle Simeone

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