Anil Sharma
Director of Software Engineering with 23 years of IT experience building ML and traditional software applications.
Sessions
Since agent processing take significant time, what happens to this latency induced if agentic-ai is implemented in existing workflow.
What should we do to change the user expectation.=?
What should be done to maintain/enhance user experience?
What trade-offs should be considers between performance, latency, cost etc?
In the year 1984, a movie terminator was released, in which an extraterrestrial machine had super human-like intelligence, powerful speech and vision detection. But machines taking over the world by machine-learning/artificially enabled applications is not new and this talk is not about that robot or robotic arm trying to take over the world.
I Anil Sharma & Shafi Khan will be speaking on merging the latest trends of AI agents with microservices and how two powerful concepts combined make a powerful enterprise architecture, allowing enterprise applications to take advantage of this by embedding the microservice with intelligence to handle complex tasks. We will use log analysis, finding root causes as an example to show how AI Agents have become partners in critical operation decisions. In this talk, We'll also discuss challenges in adoptions because enterprise data generally lives in siloes, and workflows are disconnected, manually glued together by spreadsheets, email, chat, etc.
So, in this session we'll explore a new enterprise hybrid architecture highlighting the need of adapting integrated AI agents to combine the reliability of traditional microservices with the adaptability of AI.
This discussion will give insight into how AI agents help businesses break through long-standing challenges in enterprise systems, drive scalability, and provide solutions tailored to their needs in a cost-effective manner.