For years, cooling has played a supporting role in data center design. Decisions have been driven primarily by compute, storage and networking requirements, while cooling systems quietly ensured everything stayed within safe operating limits. Most enterprise environments operated well within the capabilities of traditional air-cooling that was designed to sustain normal growth. This let organizations…
DetailsOpen the history tab of any epic that has been alive for more than two quarters. Go ahead, pick one. Count the edits. Somewhere around edit 11, the description was rewritten to satisfy a stakeholder who has since changed roles. Around edit 19, the scope was trimmed to protect a date that, in the end,…
DetailsThe next big AI wave won’t be a chatbot in your laptop, or an agent that works behind the scenes to turn meeting notes into project tickets, but AI that takes control of devices that move and interact with the environment. Physical AI can be defined as the integration of AI into autonomous systems, allowing…
DetailsThe scheduling fallacy and the shift to autonomy Walk onto almost any manufacturing shop floor, and you will witness the same systemic vulnerability: a brilliantly engineered, multi-million-dollar Advanced Planning and Scheduling (APS) system rendered completely useless by a single delayed delivery truck, an unexpected machine drift or a sudden workforce shortage. Industrial operations do not…
DetailsThe race to adopt AI has left many CIOs wrestling with a fundamental question: How do you move faster without introducing unacceptable risk? Few leaders face that challenge at a higher level than David Burns, CIO of GE Aerospace. Building on the company’s decade of experience applying AI across its business, Burns is helping lead…
DetailsThe loudest conversation in business right now is about how much value AI actually generates. Over the last year, AI has moved from a side experiment to a strategic priority. It has its own budget line, its own place on the board’s agenda and its own pressure to show results. Every leader is asking a…
DetailsThe mainframe remains the system of record for many of the world’s largest organizations and some of their most critical data. As of 2025, 71% of Fortune 500 companies still use mainframes, and nearly 97% of banks worldwide rely on IBM mainframe products. Yet many security programs continue to treat the mainframe differently from the rest…
DetailsMost enterprises are rushing toward autonomous AI. They shouldn’t. Autonomy you haven’t earned doesn’t speed you up. In fact, it slows you down. Here’s what I’ve moved our organization toward: a five-stage set of AI adoption maturity benchmarks. It’s a practical framework for understanding where employee development, decision-making and business value intersect. Each stage provides…
DetailsAstute leaders recognize that many times, automation and technology failures aren’t really about the technology itself. Rather, failures occur because the necessary underlying infrastructure linking people, processes, and technology isn’t in place. For example, consider organizations that try to partner together but don’t take the time to align their tech implementations in a way that…
DetailsGenerative AI is notoriously eager to help, to the point that if it can’t find something matching what you ask for, it’ll create it. So the problem with relying on guardrails is that all too often, a model will be wrong, showing a high confidence score for an incorrect answer because it’s relying on stale…
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