Your LLM Is Still Thinking. Java Already Detected the Fraud.

#### Java powers much of the financial world. Now it’s time to put AI to work on the JVM.

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#### Fraud detection, risk analysis, and real-time financial decisions demand more than accurate models. They require high throughput, low latency, predictable performance, and enterprise-grade security. And they need to work with the Java applications and infrastructure already running the business.

#### In this session, we’ll explore how modern Java delivers high-performance AI without leaving the JVM. We’ll look at GPU acceleration using the Foreign Function & Memory API, CPU optimization with the Vector API, and efficient model inference for workloads where LLMs are simply too slow, too expensive, or the wrong tool for the job.

#### Using a real-world fraud detection scenario, we’ll demonstrate how Java developers can build and deploy fast, scalable AI solutions using familiar tools, frameworks, and infrastructure. We’ll also show how AI coding assistants can accelerate the development of custom fintech applications.