At DXC, we helped our customer FastWeb with their "Welcome Lakehouse" project - a data warehouse transformation from on-premises to Databricks on AWS. But the implementation became something more. Thanks to features such as Lakehouse Federation and Delta Sharing, from the first day of the Fastweb+Vodafone merger, we have been able to connect two different platforms with ease and make the business focus on the value of data and not on the IT integration. This session will feature our customer Alessandro Gattolin of Fastweb to talk about the experience.

Unity Catalog support for Apache Iceberg™ brings open, interoperable table formats to the heart of the Databricks Lakehouse. In this session, we’ll introduce new capabilities that allow you to write Iceberg tables from any REST-compatible engine, apply fine-grained governance across all data, and unify access to external Iceberg catalogs like AWS Glue, Hive Metastore, and Snowflake Horizon. Learn how Databricks is eliminating data silos, simplifying performance with Predictive Optimization, and advancing a truly open lakehouse architecture with Delta and Iceberg side by side.

AI in healthcare has a data problem. Fragmented data remains one of the biggest challenges, and bottlenecks the development and deployment of AI solutions across life sciences, payers, and providers. Legacy paper-driven workflows and fragmented technology perpetuate silos, making it difficult to create a comprehensive, real-time picture of patient health. Datavant is leveraging Databricks and AWS technology to solve this problem at scale. Through our partnership with Databricks, we are centralizing storage of clinical data from what is arguably the largest health data network so that we can transform it into structured, AI-ready data – and shave off 80 percent of the work of deploying a new AI use case. Learn how we are handling the complexity of this effort while preserving the integrity of source data. We’ll also share early use cases now available to our healthcare customers.

In this talk, we’ll walk through a complete real-time IoT architecture—from an economical, high-powered ESP32 microcontroller publishing environmental sensor data to AWS IoT, through Redpanda Connect into a Redpanda BYOC cluster, and finally into Apache Iceberg for long-term analytical storage. Once the data lands, we’ll query it using Python and perform linear regression with Prophet to forecast future trends. Along the way, we’ll explore the design of a scalable, cloud-native pipeline for streaming IoT data. Whether you're tracking the weather or building the future, this session will help you architect with confidence—and maybe even predict it.

The convergence of cloud, data and AI is revolutionizing the pharmaceutical industry, creating a powerful ecosystem that drives innovation at scale across the entire value chain. At Gilead, teams harness these technologies on a unified cloud, data, & AI platform, accelerating business processes in pre-clinical and clinical stage, enabling smarter manufacturing and commercial processes, and deliver AI initiatives by reusing data products. Gilead will discuss how they have leveraged AWS, Databricks, and Data Mesh to manage vast amounts of heterogeneous data. Also, showcase use cases of traditional AI/ML, and Generative AI, and a Marketplace approach to drive adoption of AI Agents, demonstrating how this cloud-based, AI-powered platform is transforming the entire value chain. Gilead will also discuss how they are exploring the future of pharmaceutical innovation through Agentic AI, where the synergy of cloud, data and AI is unlocking new possibilities for a healthier world. In the second part, Muddu Sudhakar, Founder and Investor, will discuss how organizations can build and buy solutions for AI, Agents with Data Platforms. AWS and Databricks provide industry-leading platforms to build Agentic AI solutions. We will also cover Agentic AI Platform, Agent orchestration, Agent Interoperability, Agent Guardrails and Agentic workflows. This discussion also covers challenges in deploying and managing Agentic AI platforms. Enterprises need impactful AI initiatives & Agents to realize the promise and vision of AI and drive significant ROI.

HP Print's data platform team took on a migration from a monolithic, shared resource of AWS Redshift, to a modular and scalable data ecosystem on Databricks lakehouse.​ The result was 30–40% cost savings, scalable and isolated resources for different data consumers and ETL workloads, and performance optimization for a variety of query types.​ Through this migration, there were technical challenges and learnings relating to the ETL migrations with DBT, new Databricks features like Liquid Clustering, predictive optimization, Photon, SQL serverless warehouses, managing multiple teams on Unity Catalog, and others.​ This presentation dives into both the business and technical sides of this migration. Come along as we share our key takeaways from this journey.​

In this session you will learn how to leverage a wide set of GenAI models in Databricks, including external connections to cloud vendors and other model providers. We will cover establishing connection to externally served models, via Mosaic AI Gateway. This will showcase connection to Azure, AWS & Google Cloud models, as well as model vendors like Anthropic, Cohere, AI21 Labs and more. You will also discover best practices on model comparison, governance and cost control on those model deployments.

Adobe’s Real-Time Customer Data Platform relies on the identity graph to connect over 70 billion identities and deliver personalized experiences. This session will showcase how the platform leverages Databricks, Spark Streaming and Delta Lake, along with 25+ Databricks deployments across multiple regions and clouds — Azure & AWS — to process terabytes of data daily and handle over a million records per second. The talk will highlight the platform’s ability to scale, demonstrating a 10x increase in ingestion pipeline capacity to accommodate peak traffic during events like the Super Bowl. Attendees will learn about the technical strategies employed, including migrating from Flink to Spark Streaming, optimizing data deduplication, and implementing robust monitoring and anomaly detection. Discover how these optimizations enable Adobe to deliver real-time identity resolution at scale while ensuring compliance and privacy.

In this presentation, we'll show how we achieved a unified development experience for teams working on Mercedes-Benz Data Platforms in AWS and Azure. We will demonstrate how we implemented Azure to AWS and AWS to Azure data product sharing (using Delta Sharing and Cloud Tokens), integration with AWS Glue Iceberg tables through UniForm and automation to drive everything using Azure DevOps Pipelines and DABs. We will also show how to monitor and track cloud egress costs and how we present a consolidated view of all the data products and relevant cost information. The end goal is to show how customers can offer the same user experience to their engineers and not have to worry about which cloud or region the Data Product lives in. Instead, they can enroll in the data product through self-service and have it available to them in minutes, regardless of where it originates.

Blue Origin is revolutionizing space exploration with a mission-critical data strategy powered by Databricks on AWS GovCloud. Learn how they leverage Databricks to meet ITAR and FedRAMP High compliance, streamline manufacturing and accelerate their vision of a 24/7 factory. Key use cases include predictive maintenance, real-time IoT insights and AI-driven tools that transform CAD designs into factory instructions. Discover how Delta Lake, Structured Streaming and advanced Databricks functionalities like Unity Catalog enable real-time analytics and future-ready infrastructure, helping Blue Origin stay ahead in the race to adopt generative AI and serverless solutions.

How do you wrangle over 8TB of granular “hit-level” website analytics data with hundreds of columns, all while eliminating the overhead of cluster management, decreasing runtime and saving money? In this session, we’ll dive into how we helped HP Inc. use Databricks serverless compute and Lakeflow Declarative Pipelines to streamline Adobe Analytics data ingestion while making it faster, cheaper and easier to operate. We’ll walk you through our full migration story — from managing unwieldy custom-defined AWS-based Apache Spark™ clusters to spinning up Databricks serverless pipelines and workflows with on-demand scalability and near-zero overhead. If you want to simplify infrastructure, optimize performance and get more out of your Databricks workloads, this session is for you.

Building an open data lakehouse? Start with the right blueprint. This session walks through common reference architectures for interoperable lakehouse deployments across AWS, Google Cloud, Azure and tools like Snowflake, BigQuery and Microsoft Fabric. Learn how to design for cross-platform data access, unify governance with Unity Catalog and ensure your stack is future-ready — no matter where your data lives.

AWS Marketplace is revolutionizing how enterprises worldwide discover, procure, and manage their software solutions. With access to over 5,000+ verified sellers offering software, data, and professional services - including industry leaders like Databricks - organizations can streamline procurement through flexible pricing models and simplified terms. The platform seamlessly integrates with AWS services while providing consolidated billing, centralized governance, and streamlined vendor management. Through innovations like Buy with AWS, customers can purchase directly from Partner websites, making software acquisition more efficient than ever. Join us to learn how AWS Marketplace is driving value for both customers and Partners, helping organizations accelerate their digital transformation while maintaining security and compliance.

Join us as we explore the well-architected framework for modern data lakehouse architecture, where AWS's comprehensive data, AI, and infrastructure capabilities align with Databricks' unified platform approach. Building upon core principles of Operational Excellence, Security, Reliability, Performance, and Cost Optimization, we'll demonstrate how Data and AI Governance alongside Interoperability and Usability enable organizations to build robust, scalable platforms. Learn how Ripple modernized its data infrastructure by migrating from a legacy Hadoop system to a scalable, real-time analytics platform using Databricks on AWS. This session covers the challenges of high operational costs, latency, and peak-time bottlenecks—and how Ripple achieved 80% cost savings and 55% performance improvements with Photon, Graviton, Delta Lake, and Structured Streaming.

In this session, we’ll walk through the latest advancements in platform security and compliance on Databricks — from networking updates to encryption, serverless security and new compliance certifications across AWS, Azure and Google Cloud. We’ll also share our roadmap and best practices for how to securely configure workloads on Databricks SQL Serverless, Unity Catalog, Mosaic AI and more — at scale. If you're building on Databricks and want to stay ahead of evolving risk and regulatory demands, this session is your guide.

Despite the proliferation of cloud data warehousing, BI tools, and AI, spreadsheets are still the most ubiquitous data tool. Business teams in finance, operations, sales, and marketing often need to analyze data in the cloud data warehouse but don't know SQL and don't want to learn BI tools. AI tools offer a new paradigm but still haven't broadly replaced the spreadsheet. With new AI tools and legacy BI tools providing business teams access to data inside Databricks, security and governance are put at risk. In this session, Row Zero CEO, Breck Fresen, will share examples and strategies data teams are using to support secure spreadsheet analysis at Fortune 500 companies and the future of spreadsheets in the world of AI. Breck is a former Principal Engineer from AWS S3 and was part of the team that wrote the S3 file system. He is an expert in storage, data infrastructure, cloud computing, and spreadsheets.

Overflow Available First come, first serve. No reservation required. Where: Moscone South, Level 3, Room 302 Join the 60-minute kickoff session at the Financial Services Forum to explore how data and AI transform finance. Featuring keynotes from top innovators in banking, capital markets, and insurance and exciting announcements from Databricks, this event offers invaluable insights. What to expect: Business imperatives: Learn how institutions drive growth, reduce risk and boost efficiency with data intelligence Transformative vision: See how Databricks enhances fraud prevention, automates processes and personalizes experiences Cutting-edge insights: Discover the latest trends in data-driven finance Customer success stories: Hear how global leaders leverage data and AI for a competitive edge Connect with C-suite executives and industry pioneers shaping financial services. Leave with actionable strategies to drive growth, ensure compliance and transform your organization through intelligence-driven decisions!

Come hear from some of the biggest names in games about how Data and AI is helping them shape their future, build better games and create player-centric experiences. In this session you’ll hear, first, what Databricks is hearing from Games studios globally as their key priorities. We then shift to customers sharing their stories and perspectives. Dennis Ceccarelli from 2K Games sharing how his passion for building immersive, player-first experiences, has helped him shape the future of sports entertainment in the interactive space. You’ll leave invigorated on the impact Data and AI can have on games, and our global players and have new ideas on ways you can further your impact.

Join us for an inspiring forum showcasing how manufacturers and transportation leaders are turning today's challenges into tomorrow's opportunities. From automotive giants revolutionizing product development with generative AI to logistics providers optimizing routes for both cost and sustainability, discover how industry pioneers are reshaping the future of industrial operations. Highlighting this session is an exciting collaboration between Heathrow Airport and Virgin Atlantic, demonstrating how partnership and innovation are transforming the air travel experience. Learn how these leaders and other companies are using Databricks to tackle their most pressing challenges — from smart factory transformations to autonomous systems development — proving that the path to profitability and sustainability runs through intelligent operations.

Join us at the Media & Advertising Forum to explore how data and AI are transforming media and advertising from content to creative and identity to outcomes. Featuring innovators from leading agencies, platforms, streamers and ad tech — plus exciting announcements from Databricks — this session delivers must-have insights for industry leaders and change agents. What to expect: Business imperatives: Learn how media and advertising organizations navigate and grow through secular change leveraging Data + AI. Databricks leaders and customers will share how data intelligence is powering the next wave of innovation Future trends in Media & Advertising: Learn how data + AI will continue to shape the future of monetization, real-time personalization and intelligent storytelling Customer success stories: Discover how top media and advertising companies are using data intelligence to unlock new creative potential, increase agility and grow revenue