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

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.

Zoran Ševarac is a Java Champion, AI and machine learning expert, and CEO of Deep Netts, where he focuses on making AI faster and more accessible to Java developers.

He is a Full Professor at the University of Belgrade, leading its Laboratory for Artificial Intelligence. With over 20 years of experience, Zoran created the award-winning Neuroph neural network framework, co-authored JSR 381 (Visual Recognition API), and serves on the Java Community Process Executive Committee and its AI Working Group. A longtime Java community contributor, he is a frequent speaker at JavaOne, Devoxx, QCon, and other major developer conferences.

ArchConf 2026 returns to the Opal Sands Resort in Clearwater Beach, FL, December 7–10, bringing together software architects, senior engineers, authors, and industry experts for four days of hands-on learning and technical discussion. Attendance is capped at just 300 practitioners, creating an unusually interactive environment with 75+ production-focused sessions and workshops covering agentic AI and coding agents, distributed systems, event-driven architecture, MLOps, cloud security, and more. Registration also includes 25 NFJS Virtual Workshop Credits for continued training throughout 2027, meals and networking events, and a 12-month pass to session recordings. NYJavaSIG/JUG members can save an additional $500 with promo code arch26jug5, and teams can take advantage of a Buy 4, Get 2 Free offer. Learn more and register at https://archconf.com/.