I have audited enough celebrated technology rollouts to notice a quiet omission across the industry: nobody talks much about what happens to the unit economics once the pilot ends and the software enters daily production. I have anonymized the company and changed identifying details for confidentiality, but the operating economics and workflow behaviors below are…
In my experience, where you place product management is as critical as whom you hire and how you train them. A team expected to serve the whole organization needs the influence and independence to act for the whole organization. My view comes from working in companies ranging from trillion-dollar enterprises to startups, and from ongoing…
Eager to incorporate agentic AI into their work, employees are taking matters into their own hands, creating their own AI agents, regardless of organizational approval, and a not insignificant number of those creations could have devastating consequences if IT leaders don’t get ahead of the trend. According to a recent survey by engineering staffing firm…
Over 20-plus years in the enterprise trenches, I’ve watched multi-million-dollar technology transformations stumble over the same blind spot. We spend months debating cloud architectures, database benchmarks and vendor feature matrices. But the tech itself? That’s rarely where the real bleeding happens. The real pain arrives later, in the messy organizational wake: Who actually controls this…
I argued in my last column, The case and model for real-time AI cost visibility at the infrastructure layer, that the AI measurement problem looks to be finally solved as a technical matter, and that companies can now manage AI as a strategic investment rather than a pay-and-pray experiment. That’s the defining shift for the…
As the demand for AI infrastructure continues to outstrip available capacity, AMD is planning a substantial increase in CPU and GPU supply in 2027. During her recent visit to Taiwan, AMD CEO Lisa Su confirmed that the company is working to expand supply across its ecosystem and is now planning capacity three to five years…
What happens once building software stops being expensive? That’s the question at the center of this piece, and I think it’s about to matter for every CIO/CTO managing an enterprise technology budget. For decades, that expense has quietly shaped how enterprises operate. When custom development takes months and a full team, companies buy SaaS products…
SAP is continuing its acquisition spree to help its enterprise customers address what it sees as one of the key challenges around scaling AI: giving Joule agents the appropriate context they need to reason across enterprise data and systems. The enterprise software giant, late on Tuesday, said that it was signing an agreement to acquire…
Every CIO in a regulated industry has a system the business depends on, that no one fully understands and that must be replaced. In banking, it is often a core platform that predates the internet. In my own career, that system took two distinct forms: first, a VAX minicomputer running a parking operator’s entire business…
For years, one of the practical constraints in software testing was time. Writing test cases takes time, preparing data takes time, regression takes time and analyzing what happened after an incident can take even more time. AI is changing this very quickly. Today, a QA engineer can generate test data, write scripts, analyze logs or…