Session
From Enterprise Java to Agentic AI: Building Governed AI Workflows with Jakarta EE
Enterprise Java applications are increasingly expected to integrate with Generative and Agentic AI without sacrificing security, reliability, transaction integrity, or existing architectural investments.
This session explores how Jakarta EE applications can evolve into AI-enabled enterprise platforms by combining REST APIs, dependency injection, security, messaging, persistence, and cloud-native integration patterns with agentic workflows.
Attendees will learn practical patterns for connecting Jakarta EE services to LLMs and AI agents, exposing enterprise capabilities safely as tools, enforcing authorization and policy boundaries, integrating asynchronous workflows, and maintaining observability across AI-driven execution.
The session also examines how existing Java applications can be incrementally modernized for Agentic AI without wholesale rewrites, preserving proven enterprise services while introducing intelligent orchestration on top of them.
The goal is to show how Jakarta EE can remain a strong foundation for secure, governed, AI-enabled enterprise applications.
Nithesh Gudipuri
Associate Director, Technology Architecture & Modernization | AI & Data Strategy | Blockchain | IEEE Published Author | Speaker • Advisor • Industry Contributor
Tampa, Florida, United States
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