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Azul to Host AI4J: The Intelligent Java Conference on Building Production-Grade AI Systems with Java

April 09, 2026 at 09:00 AM EDT

ⓘ This article is third-party content and does not represent the views of this site. We make no guarantees regarding its accuracy or completeness.

Sessions cover AI agents, RAG architectures, Spring AI and production deployment patterns

Azul, the trusted leader in enterprise Java for today’s AI and cloud-first world, today announced AI4J: The Intelligent Java Conference, a free virtual event on April 14. 2026, bringing together AI professionals and Java Champions to help enterprise teams build and scale AI-powered Java applications.

With 62% of organizations now using Java to code AI functionality, up from 50% last year, according to Azul's 2026 State of Java Survey & Report, enterprise Java teams face urgent questions about agents, context management, retrieval-augmented generation and production-scale deployment. AI4J addresses these challenges with hands-on sessions and real code examples.

FAQs

How can enterprise Java teams start building AI agents that work reliably in production?

AI4J sessions walk through agent architectures using MCP for tool integration and context management, with code-level detail on failure modes at scale. Azul’s Java platform provides the runtime performance foundation these workloads demand as they move from prototype to production.

What's the best way to reduce hallucinations in Java-based RAG applications?

AI4J covers the mechanics behind embeddings, similarity search and vector stores, including how chunking strategies, filtering, and top-k tuning directly impact answer accuracy. With 31% of enterprises now building AI functionality into more than half their Java applications, getting retrieval right is becoming an operational priority.

How is Spring AI changing the way Java developers build LLM-powered applications?

Spring AI gives Java teams built-in patterns and abstractions for common AI tasks, removing the need to stitch together LLM integrations. AI4J sessions demonstrate how to use Spring AI to build production-grade systems, including real examples of connecting models to enterprise data sources.

About Azul

Azul is the trusted leader in enterprise Java for today’s AI and cloud-first world. Its open source-based Java platform empowers organizations to optimize the entire Java lifecycle to accelerate performance, strengthen security, reduce licensing and cloud costs, and boost developer productivity. Azul powers mission-critical systems for 36% of the Fortune 100, 50% of the Forbes Top 10 World’s Most Valuable Brands, and the world’s top 10 financial trading companies. Learn more at azul.com and follow @azulsystems.