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…
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…
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