AI agents have become the prevailing core architectural component of AI-enabled systems. They allow us to build complex solutions that leverage Large Language Models (LLMs) alongside the myriad data sources, tools and other Agents organizations use to manage, transact with, and process data. Agents truly emerged as a leading element in AI systems with the…
Author: Sanjeev Sharma
Founder and Principal - Data Capital Labs, Ex-Dell, Truist, IBM, Author: The DevOps Adoption Playbook, and DevOps For Dummies (IBM Edition). AI, Cloud, DevSecOps, Disruptive Tech.
AI Agents: from Refrigerators to Beer Cans
Architecting Agentic Systems – part II I heard someone use this Analogy several months ago. I have no recollection who it was (if you are reading this and came up with this analogy, please let me know so I can give proper credit). At this point, I am working under the assumption that this is…
Architecting Agentic Systems – part I: Is that an Agent?
The hype around AI Agents and how they are transforming the world is at an all-time high. I believe this is so for good reason. AI Agents bring the capacities of AI and more specifically generative AI (genAI) into the real world. They allow systems to observe the real-world, derive context, make decisions, and then…
LLMs: AGI’s massive head-fake?
In his seminal work from 1972, The Mythical Man-month, Fred Brooks, when discussing organizing software development teams along the lines of a Surgical Team, introduced us to the concept of a programming Copilot. The proposal to organize Software Development teams in such a manner came to Brooks from his fellow IBMer Harlan Mills in his…
AI Bias and Judgement
Back when I was a teenager, I was introduced by my dad to one of his young colleagues. This gentleman was considered an up a coming leader. He was smart and outgoing, and I was impressed by how everyone around him looked up to him, even people older and his superiors. I hung on to…
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