Buying the AI Doesn’t Transfer the Risk There is a comforting story a lot of enterprises tell themselves when they adopt a third-party AI tool: “we bought this from a reputable vendor who has indemnified us in their contract, so the vendor owns the risk.” I understand the appeal of that story. It is 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 Risk – a User’s Guide (Part I): The Approval Nobody Signed off
Here’s a question I’ve been asking CIOs and CISOs at every conference session I speak at these days: “what if the riskiest AI decision your company made this year is one nobody approved?” Sit with that for a second. Not a decision your board debated. Not a model or Agentic deployment your risk committee signed…
AI’s Anna Delvey Problem: How Enterprises Are Faking It Till They (Don’t) Make It
I’ll admit it. I binge-watched Inventing Anna on Netflix over a couple of nights, the way most of us did back in 2022. And like most viewers, I walked away simultaneously appalled and a little bit fascinated by Anna Delvey. Here was a woman with no trust fund, no inheritance, and no real business, who…
AI Agents: The case for Eval Driven Development
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…
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…
Home: sdarchitect.blog 