Data Deep Dive at Oracle AI World Tour London
Hear what’s new directly from the product leaders and experts behind Oracle AI Database. Whether you focus on mission-critical systems, database cloud and consolidation, data lakehouses and warehouses, or building new applications, this free event is designed for you. You’ll also learn about, and get hands-on experience with, the latest AI for Data technologies to generate breakthrough insights, drive innovation, and boost productivity.
Designed for developers, technical architects, and data professionals, this event offers a raw, unfiltered look at how to leverage your data to build AI applications. Do not just watch the AI wave. Lead the change with AI designed for data.
Register for Data Deep Dive London
Join Data Deep Dive on day two of Oracle AI World Tour London. Register for the complimentary Oracle AI World Tour London event, then select the Data Deep Dive during signup to continue with expert-led sessions on Oracle’s AI and data platforms.
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Already registered for Oracle AI World Tour London?
For those registered for AI World Tour already, RSVP by logging in to the attendee portal and locating the Data Deep Dive card. Click the RSVP button, select "accept" or "decline," and press submit. Data Deep Dive is an invitation-only event and is non-transferable.
Expert briefings, hands-on experience
Deep tech. Real skills. No fluff. The experts who build Oracle AI Database are coming to London to deliver in-depth briefings on the latest Oracle AI Database technologies powering the AI for Data revolution, plus guided hands-on labs where you can try them out.
Choose your journey at Data Deep Dive London
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Immersive Hands-On Labs
Get hands-on experience with AI built directly into your data layer, eliminating complexity and latency.
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Multicloud mastery
Learn how Oracle’s distributed cloud strategy enables you to run workloads where they make the most sense: on-premises, in Oracle Cloud Infrastructure (OCI), or across other hyperscalers.
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Peer-to-peer networking
Gain practical knowledge as you exchange code, architectures, and best practices with industry peers and Oracle’s top product experts.
Keynote: The Future of Data and AI
Join Juan Loaiza and Hasan Rizvi to explore game-changing Oracle AI Database innovations that redefine what’s possible in the AI-age. Experience AI designed for data, natively architecting AI into your data everywhere without complex data movements. Learn about native vector search, LLM integration, in-database agents, Generative Development, and more. See how you can end data chaos, breaking down silos and boosting agility with a single unified environment for all major workloads and data types, available across public clouds and on-premises. Discover how to end data risk with a multi-layer defense designed to address new AI-era and emerging quantum threats. Then wrap up with a 30-min live “Ask me anything” session with Juan and Hasan!
Juan Loaiza
Executive Vice President, Oracle Database Technologies, Oracle
Juan Loaiza is a renowned technology executive and a leading expert in database management systems. As Executive Vice President of Oracle Database Technologies, he reports directly to Oracle founder and CTO Larry Ellison and is responsible for driving innovation and development of Oracle's flagship database products, which are at the core of many of the world's largest and most complex IT systems. His team is focused on automating and converging database technologies to make AI for data, application development, scaling, and security dramatically better and easier, enabling customers to improve their competitiveness while saving time and money.
Hasan Rizvi
Executive Vice President, Database Engineering
Hasan Rizvi is executive vice president of database engineering at Oracle. Previously, he worked as an engineer on the database team, led the development of database management features, and headed the Fusion Middleware product organization at Oracle. He has founded several companies developing enterprise software. Hasan holds a master’s degree in Computer Science from Rutgers University and a master’s degree in Engineering Management from Stanford University.
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Details are subject to change.