The New Definition of Done for AI Agents: Moving Beyond Traditional Software Assumptions
Why Traditional Software Delivery Assumptions No Longer Hold For decades, engineering teams have operated under a reliable assumption: if software works today,…
AI, Data, Cloud, Cybersecurity, leadership, and real-world playbooks.
Why Traditional Software Delivery Assumptions No Longer Hold For decades, engineering teams have operated under a reliable assumption: if software works today,…
AI Didn’t Replace the Data Ingestion PM — It Changed What “Good” Means When people talk about AI reshaping technology roles, the…
Most organizations don’t struggle to start AI. They struggle to finish it. A pilot gets approved, a model gets trained, a demo…
AI can already sound convincing. The harder test is: can it get work done—safely—across systems, across modalities, and increasingly in the real…
When enterprises talk about “AI security,” the focus often narrows to jailbreaks, prompt injection, and hallucinations. The model is seen as the…
Why “LLM-as-a-Judge” is essential, risky—and how to use it right When teams demo AI agents, the storyline is familiar: a clean prompt,…
Focusing exclusively on GenAI creates unnecessary risk. That’s not just a warning from Gartner — it’s something I’ve witnessed first-hand across enterprise…
A CIO asked me recently: “Why is everyone suddenly talking about Forward Deployed Engineers? We already have Cloud Solution Architects, Customer Success…