Data drift. Model drift. ‘Real‑world drift’.But is managing all of this really just an MLOps function? Every production AI system loses accuracy over time. You have noticed that even with LLM-based systems. Not because the model is flawed, but because the data, users, and operating environment evolve faster than models adapt. Not to mention that […]
A sneak peek into the ‘project management zoo.’
Methodology choice is both strategic and tactical. And how does project leadership fit in? In physics, the Standard Model organizes the so‑called ‘particle zoo’ of fundamental particles.Let’s borrow this metaphor here. This map through the PM zoo is oversimplified. It doesn’t cover every animal, and hybrids certainly have their place. Still, within its limits, it […]
Getting the best from project teams
Double Bind and Functional Freeze. What about getting the best from project teams instead when leading projects? That’s as big as it gets. No matter which project methodology or framework we use, it’s people who make projects succeed, and even more so when augmented by AI. We want them to be productive. The double bind […]
Los Frutos 🫒 🍇 de la Acción
Disfruta el proceso de fracaso y aprendizaje. Se necesita un momento para comprar estas aceitunas y uvas en la tienda, pero se requieren años de esfuerzo, dedicación, fracaso y aprendizaje para cultivarlas por mi cuenta, contra viento y marea.No estaba pensando en los frutos cuando los plantaba. Mi motivación era disfrutar, no los frutos. Ha […]
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Agile Coaching
Is your coach a medicine or a diet? As promised in my previous post about leadership, let’s look at coaching from a distinct perspective. A good doctor wants to get rid of her patients, not to keep them. She knows that she will never run out of ‘cases’ that need her help. And yet, a […]
AI to ROI
Planning for an AI solution? After all everybody does, right? Whether aiming for AI-first or embedded, be sure first that AI is necessary to solve your problem and is feasible. If yes, start small and iterate often. There are dozens of reasons why most of AI projects (95%) underdeliver or fail. Spend sufficient time with […]
The importance of Active Unlearning
Introducing the “Every Insight Has an Outside” series – reflections on the boundaries of knowing. Now… much has been said about the importance of learning and the techniques for doing so efficiently. These are, for obvious reasons, highly valuable attitudes and pursuits. Only, they often obscure a singular yet profoundly important aspect of development: active […]
Think Big. Start Small. Iterate Often in AI Projects.
Cognitive Project Management for AI (CPMAI) overview. Where data meets Agile. You want to enhance your revenue, improve competitiveness, reduce existing costs, improve operations, or solve an existing unsolved problem. Based on initial analysis, there is no better, simpler, predictable, non-cognitive system or analytic solution for your need. Moreover, you want to address short term […]
Don’t push the chain. Plan and control the flow.
For our predictive project, we have identified project tasks and dependencies, sequenced them and assigned resources, determined the critical path, and mitigated initial risks. We began driving tasks forward, tracking progress, collecting data on task completion, and urging resources to finalize them according to the schedule. The project is important, so we keep pushing; however, […]