The 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…
The 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…
The 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…
The 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…
The 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…
Most 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…
Astute 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…
Generative 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…
Over the past decade, I have worked through multiple technology transitions, from virtualization and cloud adoption to containers and large-scale automation. Each changed how enterprise IT operated, but they all shared one characteristic: production systems still behaved in broadly predictable ways. AI is the first shift I have seen that changes the behavior of production…
A crude tanker slows off a chokepoint and its AIS transponder, the automatic signal ships broadcast to identify themselves and their position at sea, goes dark for eleven hours. To a generic AI model, that’s a gap in a data stream. To anyone with money or compliance exposure on the line, it’s a question: whose…