Join us for Oracle DatabaseWorld: Multicloud AI Edition

Next Generation Intelligent Data Architecture for Multicloud

The rise of multicloud environments such as Oracle, Azure, AWS, and Google Cloud, demands a new approach to data management. Oracle Exadata’s next-generation architecture, featuring data-optimized hardware and data-intelligent software, provides the performance, scale and efficiency needed for all modern AI, analytics, and mission-critical workloads. Explore how the Exadata platform can accelerate your data and IT modernization across your preferred cloud providers, driving productivity and lowering costs.

Avoid Ransomware Headlines. Protect and Recover with Autonomous Recovery Service.

News of ransomware attacks runs rampant, and you need to be ready to recover your Oracle Database in the event of an attack. Learn the key principles to protect your database up to the last sub-second, safeguard your backups with immutability, and always know your protection status. Oracle Zero Data Loss Autonomous Recovery Service makes this all possible for Oracle Database Cloud Services with the click of the mouse. Walk away from this session with a blueprint to survive a ransomware attack.

Unifying Real-time Data for AI and RAG Workflows with GoldenGate 23ai

Discover how Oracle GoldenGate 23ai uses a data fabric approach to bring real-time data replication to your AI and Retrieval Augmented Generation (RAG) workflows. By seamlessly replicating vector data across both homogeneous and heterogenous databases, GoldenGate keeps your AI models up-to-date without forcing any downtime or rework. You’ll see how leveraging the data fabric lets you unify vector data from multiple sources, quickly adapt to changing algorithms, and maintain continuous RAG workloads—all while ensuring your AI remains accurate and responsive in real time.

Optimizing Oracle Database for Multicloud Success

Oracle has a long history of allowing customers run Oracle Database—widely recognized as the world’s leading database solution—on their preferred platform, regardless of vendor. In the cloud era, Oracle extends this flexibility with database solutions that deliver consistent performance, features, compatibility, and pricing across all environments, whether on-premises in your data center or as part of a multicloud strategy. This session explores the comprehensive Oracle Exadata Database services, highlighting the choice and flexibility that enables you to deploy your applications and databases wherever best suits your business needs.

From Data Chaos to Clarity: Multicloud Analytics Made Simple

Organizations struggle with scattered data across multiple clouds, databases, and files in a variety formats—PDFs, PowerPoint, Word documents and more. How can you go from data chaos to clarity? This session will demonstrate how Oracle Autonomous Database can help you gain that clarity using its built-in data integration and AI NL2SQL and RAG capabilities. We’ll show you how to access and analyze data from AWS data lakes, Google Cloud knowledge bases, and Azure SQL databases, all from a single platform. And, how you can run that platform where you need it—on Azure, Google Cloud or OCI.

Build GenAI Apps with Oracle Database 23ai: AI Vector Search, RAG, JSON, and Graph

Learn how to build a cutting-edge AI-driven loan recommendation app using Oracle Autonomous Database and 23ai features, plus Python and JSON. Leverage GenAI, chatbots, and graph analytics to analyze applications, assess risk, match customers with optimal loan products—instantly.Streamline document processing, accelerate approvals, and fine-tune loan options in real time, all while ensuring compliance. Revolutionize lending with AI!

Keynote: Bring AI to Your Data

AI is transforming data use, and Oracle Database 23ai embeds AI where your data resides. In this session, we’ll explore how Oracle’s latest innovations bring AI into the database, eliminating the complexity of moving data and allowing you to seamlessly combine business data search with unstructured data to deliver breakthrough insights.

Learn how AI Vector Search enables fast similarity searches, Select AI brings natural language queries, and RAG enhances generative AI with enterprise data for accurate, context-aware insights. Discover how Oracle Database 23ai makes AI more accessible, scalable, and powerful—right where your data lives.

Accelerate Building Scalable, Secure Apps with APEX and GenAI on Oracle Database

Use GenAI to build secure, enterprise-grade applications faster than ever with low-code running inside Oracle Database. Discover why APEX is the world’s most popular enterprise low-code platform and how it empowers you to create scalable, secure web and mobile apps with powerful features that delight users.

Oracle Database, AI, and Your App: Tackling Any Workload Like an App Dev Ninja

Discover how to elevate your application development game with an infusion of Oracle Database, smart AI, and a killer multicloud strategy. Forget the data drama—this talk focuses on crafting agile, scalable apps using popular frameworks like Spring Boot, Node.js, and .NET. Learn how Oracle’s multicloud solutions let you deploy your innovations seamlessly across AWS, Azure, Google Cloud, OCI and more, all while keeping your app development lean and mean. Expect insightful tips and ninja-level strategies that empower you to tackle any workload with finesse and flair.

Oracle Database: Plug-and-Play for JSON and MongoDB Developers!

Oracle Database is known for its robust relational capabilities, but did you know it also excels at JSON and offers seamless compatibility with MongoDB applications? In this session, we'll explore Oracle’s powerful JSON support, including JSON Relational Duality Views, an exciting new feature that blends the best of relational and document-based models—allowing MongoDB applications to share data across documents and collections for absolute data consistency and easier and more performant updates.

Tackle Complex Problems by Understanding Connections Within Your Data

Track down logistical bottle necks in your supply chain. Find product-component dependencies in your manufacturing processes. Follow the flow of money in your financial system to discover unusual patterns that might be fraud. Oracle Graph, a feature of Oracle Database, can help with all this and more. When you view your data as a graph instead of with the typical rows and columns structure it becomes easier to find and trace these connections in your data. With the new syntax in Oracle Database 23ai for SQL Property Graphs you can more easily view data stored in tables as a graph.

Ten Things I Hate About Microservices (and How Oracle Saved the Day!)

Microservices sound great—until you hit data consistency headaches, cascading failures, and an ever-growing tangle of services. Join me as I share ten painful lessons—and how Oracle helped turn chaos into clarity (and saved my sanity!).

Unleash Your Data Superpowers: Game-Changing Innovations in Oracle Database 23ai

Today’s world is always on, data operations resiliency are not optional. Building data-driven applications to keep pace with evolving business demands, AI, performance, security, and availability? Oracle Database 23ai future proofs your data strategy by delivering a data platform that has maximum uptime, enhanced security, and transformative application performance. All without complexity—so you can confidently embrace innovation and keep your data always at the ready.

Upgrade to Oracle Database 23ai: Best Practices and Customer Experience

Upgrading in the cloud is as easy as pushing a button—but what if you could do it even faster. With AutoUpgrade and refreshable clone PDBs, you can significantly reduce downtime and streamline the upgrade process. In this session, we will demonstrate how to upgrade to Oracle Database 23ai with minimal disruption, covering key pre- and post-upgrade best practices for a smooth and efficient transition. Don’t miss this opportunity to optimize your upgrade strategy and maximize database availability.

Maximum Security: Best Practices for Securing Oracle Database

The Maximum Security Architecture (MSA) is a set of best practices for using Oracle Database’s security technologies to minimize security risk and assist with regulatory compliance requirements. Join us to review the MSA and how your organization can apply the right security controls to meet your own security goals.

No More Service Interruptions: How Oracle MAA Provides Data Resiliency Across Hyperscalers

Oracle Maximum Availability Architecture (MAA) is Oracle’s validation stamp for availability and reliability in mission-critical database environments. Applied to thousands of databases, MAA meets the highest service-level objectives with proven blueprints and best practices. This session explores how MAA now extends to multicloud hyperscaler environments, providing global data protection while helping meet data sovereignty requirements. Discover automation features that help you quickly implement MAA guidance and best practices across on-premises and multicloud deployments.

Build Never Down, Global Scale, Multicloud applications with Oracle Globally Distributed Database

Enterprise data and transaction volumes are surging, demanding 24/7 availability and compliance with data sovereignty regulations. To meet these needs, organizations are distributing applications and data across availability zones, regions, countries, and clouds. Learn how customers are building global-scale applications that process millions of transactions per second, manage petabytes of data, eliminate downtime, and maintain compliance. Discover how Oracle Globally Distributed Database seamlessly delivers strong data consistency, full SQL capabilities, and support for structured, unstructured, and generative AI-driven data.

Accelerate Your Applications with Oracle True Cache

Many applications enhance performance and availability by adding a caching tier in front of the database. However, traditional caches require manual intervention—developers must explicity load data into the cache and update it when the source data changes, increasing development complexity and risking inconsistencies. In this session, we’ll explain how Oracle True Cache, an in-memory SQL and object cache, overcomes the limitations of conventional caches. True Cache automatically caches frequently used data and provides consistency as the source data in the backend database changes, without requiring manual updates from developers. Learn how it simplifies app development, maintains real-time data accuracy and optimizes performance.