Reza Rahman
Enterprise Java technologist, leader, architect, consultant, author, speaker
Philadelphia, Pennsylvania, United States
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Reza Rahman is an accomplished technologist with decades of experience in leadership, architecture, engineering, and consulting. He is recognized worldwide as a thought leader in the enterprise Java space. He has worked with Java since its inception, including working as a key technologist in Oracle’s and Microsoft’s Java teams.
He is the author of the popular book EJB 3 in Action from Manning Publishing. Reza has long been a frequent speaker at Java User Groups and conferences worldwide including JakartaOne, DevNexus, and JavaOne. He has been the lead for the Java EE track at JavaOne as well as a JavaOne Rock Star Speaker award recipient. He was the program chair for the inaugural JakartaOne conference. Reza has been a member of the Java EE, EJB, and JMS expert groups over the years. Reza implemented the EJB container for the Resin open source Java application server. He represented Microsoft at the Jakarta EE and MicroProfile steering committees. He helps lead the Philadelphia Java User Group. Reza is proud to be a founding member of the Jakarta EE Ambassadors.
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The Jakarta Agentic AI Specification - Status and Future
This talk outlines the current status and roadmap of the Jakarta Agentic AI specification.
AI agents are one of the most prominent developments in enterprise and cloud native computing in decades. They promise to fundamentally accelerate innovation, automation, and productivity by leveraging AI in virtually every industry. Agents operate by leveraging Neural Networks, Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs), and many other AI technologies to aim to perform specific tasks autonomously with little or no human intervention. They detect events, gather data, generate self-correcting plans, execute actions, process results, and evolve subsequent decisions. Examples include self-driving cars, security monitors, Site Reliability Engineering (SRE) agents, stock monitors, code/application generators, health monitors, customer service agents, manufacturing robots, and many others.
The Agentic AI specification aims to provide a set of APIs that make it easy, consistent, and reliable to build, deploy, and run AI agents on Jakarta EE runtimes. The technology aims to do for developing AI agents what Servlet did for HTTP processing, Jakarta REST did for RESTful web services, or perhaps most appropriately, Jakarta Batch did for batch processing. It defines common usage patterns/life cycles for AI agents, provides a very minimal LLM facade, allows defining dynamic agent workflows that can change at runtime, integrates with other key Jakarta EE APIs such as CDI, Validation, JSON Binding, Persistence, Messaging, and much, much more.
Reza Rahman
Enterprise Java technologist, leader, architect, consultant, author, speaker
Philadelphia, Pennsylvania, United States
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