Register Now for Oracle AI World

Oracle continues to thoughtfully invest in flagship conferences that help decision makers adopt value-added solutions and technologies enabling long-lasting enterprise value. This year, Oracle expands its flagship event portfolio with Oracle AI World, THE can’t-miss opportunity where business leaders can learn why organizations worldwide are flocking to embrace Oracle’s latest AI innovations, as well as gain practical tips and insights to drive immediate impact by unlocking the full potential of artificial intelligence.

Oracle’s AI initiatives and solutions are complemented by ongoing investments in Java. AI is transforming industries, driving new revenue opportunities, and redefining customer experiences. But as enterprises move beyond experimentation into large-scale deployment, the technology foundations that power AI become critically important. This is where Java plays a central role. Trusted by millions of developers and embedded deeply in enterprise systems worldwide, Java provides a proven programming language and platform for delivering AI solutions that are not only innovative, but also scalable, secure, and sustainable in production.

Enterprise-Ready Scalability

AI initiatives succeed or fail based on their ability to scale. Training a model in a lab is very different from deploying it across a global business ecosystem. Modern features give organizations the ability to handle the massive data volumes and real-time processing demands of AI workloads. Whether it’s running predictive analytics across millions of customer interactions or enabling intelligent fraud detection in financial transactions, Java enables organizations to build mission-critical applications that offer consistent performance running at scale.

Seamless Integration with Existing Systems

For most organizations, AI cannot exist in isolation—it must be woven into core business systems already built on Java. From banking platforms to retail supply chains and telecommunications networks, Java powers mission-critical applications worldwide. Leveraging AI within these environments becomes significantly more efficient when the same programming language and runtime platform are used. This reduces integration complexity, accelerates time-to-value, and ensures AI solutions work harmoniously with existing infrastructure.

A Broad Ecosystem for AI Innovation

The Java ecosystem extends beyond just platform, supporting other languages like Scala and Clojure. This polyglot flexibility allows enterprises to choose the right tools for their AI initiatives while retaining the reliability of the Java platform. Emerging solutions such as Deeplearning4j, Tribuo, and Langchain4J provide production-ready frameworks and libraries for machine learning, while also integrating seamlessly with enterprise data pipelines. These tools empower organizations to move quickly from AI experimentation to operational deployment without having to reinvent their technology stack.

Real-World Use Cases Across Industries

Java-driven AI is already delivering measurable business outcomes across industries:

• Financial services: Real-time fraud detection and risk management systems built on Java leverage AI to protect billions in transactions every day.
• Healthcare: Java-based solutions enable AI-powered diagnostics and patient monitoring at scale, ensuring reliability in mission-critical scenarios.
• Retail and e-commerce: AI models integrated into Java-driven supply chain systems optimize inventory, improve logistics, and enhance customer personalization.
• Telecommunications: AI-enhanced Java systems manage massive data streams from IoT and 5G networks, ensuring quality of service and predictive maintenance.

Java’s AI Roadmap

With 30 years of battle-tested reliability and compatibility and a thriving ecosystem of AI libraries to choose from, the Java Platform is a great choice for building AI workloads, but the recent and future roadmap is making it even better. Project Panama has introduced features to better interface with native AI libraries like Tensorflow and perform vector computations, Project Loom is making concurrency easy again, Project Babylon aims to make Java development on GPUs easier, and Project Amber makes the language concise, expressive, and data-oriented. The future has never been brighter for Java!

Experience Java at Oracle AI World

To immerse yourself into the endless possibilities Java offers in the ever-expanding AI ecosystem, stop by the Java booth on the expo floor and attend a curated collection of value-added sessions delivered by recognized Java executives at Oracle:

Wednesday, Oct 15

Everything You Need to Know About Artificial Intelligence and the Java Platform
Session ID: LRN2991
Speaker: Donald Smith (VP, Product Management, Java Platform Group, Oracle)
Time: 9:45 AM - 10:30 AM PDT
Room: Marco Polo 803, Level 1

Industry Perspectives of AI Innovation with Java
Session ID: PAN2990
Speaker: Chad Arimura (VP, Developer Relations, Java Platform Group, Oracle)
Time: 2:15 PM - 3:00 PM PDT
Room: Titian 2205, Level 2

AI and Security: The Present and Future of the Java Platform
Session ID: LRN3057
Speaker: Bernard Traversat (VP, Software Development, Java Platform Group, Oracle)
Time: 4:45 PM - 5:30 PM PDT
Room: Marco Polo 802, Level 1

Thursday, Oct 16

Elevate Your Emerging AI Solutions with Java
Session ID: LRN3058
Speaker: Chad Arimura (VP, Developer Relations, Java Platform Group, Oracle)
Time: 11:30 AM - 12:15 PM PDT
Room: Marco Polo 802, Level 1

Register Now for Oracle AI World