I run interviews every week. Around minute 25, I ask about customer-facing experience. Have you sat in front of the people who use what you build? The answer I get most often: “That’s not really my cup of tea.” A few minutes later, I ask a Python engineer which metrics he’d use to autoscale the…
DetailsWriting a specification requires a precision that a contract does not. This year, I focused on an internet draft for privacy-preserving federated learning in multi-tenant agent systems. The privacy budget could not go in as a number. It had to be presented with the privacy unit, the accounting method, the noise and clipping parameters, and…
DetailsIf you’re going to run your business like a rental car, at least admit it. There’s a certain kind of company that doesn’t have a strategy. It has an exit. And if you work in IT for one of these outfits, you already know it in your bones before you ever see it in a…
DetailsData is the fuel for AI since generative, agentic, and ML systems are only as effective as the information they consume. Across all stages of the data lifecycle, including creation, storage, usage, archival, and destruction, CIOs and their business peers must consider how information feeds AI services. Almost two-thirds of organizations are unsure whether they…
DetailsWhen I first became a CIO, remarkably few CIOs I knew seemed to have set out to become one. In fact, the title itself was still relatively unusual at the time. In many organizations, the most senior technology person was the IT Director. The idea of deliberately building a career towards becoming a CIO wasn’t…
DetailsAs enterprises continue to move AI agents and agentic applications into production, AWS says traditional observability and monitoring tools — including its own CloudWatch service —will struggle to explain why an agent behaved the way it did. CloudWatch uses metrics, logs, and traces to monitor applications and infrastructure across accounts, regions, and services through the…
DetailsArtificial intelligence has entered a new phase. For most large organizations, the conversation is no longer whether AI can create business value. It is how quickly AI can be deployed across the enterprise while maintaining security, governance, compliance, and control. From customer service and software development to drug discovery and financial modeling, AI is increasingly…
DetailsIn the rapidly evolving information technology landscape, the data center of the future has arrived ahead of schedule. As AI workloads move to become core business drivers, the underlying infrastructure is hitting a thermal wall. For CIOs, the transition from traditional air cooling to liquid cooling is no longer a niche technical choice for supercomputers—it…
DetailsThis year, the conversation in the C-suite has shifted from agentic AI to, “How do we make AI work safely, repeatedly, and at scale?” The answer lies in AI agents, autonomous or semi-autonomous systems that don’t just chat, but reason, plan, and execute multi-step tasks across your enterprise ecosystem. For many CIOs, the perceived barrier…
DetailsWhile first-wave AI was largely conversational—chatbots that summarized documents or drafted emails—the second wave is operational. AI agents are autonomous entities capable of reasoning, planning, and executing multi-step workflows. They don’t just tell you that your inventory is low. They negotiate with suppliers, update ERP systems, and optimize shipping routes without human intervention. However, this…
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