Jack Dorsey and Roelof Botha recently argued that corporate hierarchy was never a management philosophy but a workaround. A single leader can coordinate only three to eight people, so organizations added layers to move information up and down a chain of command. On this reading, every structure from the Roman
A plain-language guide to knowledge graphs, semantic layers, and why Enterprise Architecture was on the right path from the very beginning. There is a question that sounds simple but keeps tripping up organisations spending millions on data infrastructure: Why can't AI just answer the question? The data
Enterprise Architecture has a persistent credibility problem. Not because the discipline is conceptually flawed, but because most organizations implement it in a way that separates the feedback connections that would make it useful. The result is an architecture function that produces artifacts — roadmaps, reference models, principle catalogues — without producing measurable
How do we automate Architecture efforts with AI? Is this really the right question to ask? It sounds logical, but it rarely leads to the highest return on investment. The better question to ask is: What are architectural preconditions for AI agents to function reliably, economically, and at scale? There
Executives rarely wake up and decide to block progress. Yet across organizations, digital initiatives stall every day. * Customer experience programs drag on. * Data platforms miss their promised impact. * Transformation roadmaps quietly slip by quarters. The default explanation is familiar: organizational silos, lack of alignment, resistance to change. But after reviewing
These aren’t rules. It is about a state of mind. Ten virtues to remind you why you design – and for whom. They’re the foundation for architecture that endures, uplifts, and delivers value. I. Clear needs before fancy solutions Virtue: Listen deeply. Clarify. Speak clearly. “The beginning is half
The world is constantly changing. How can you be successful today? What do you need to learn to stay relevant in the future? The content is created by me personally. It is meant only for people to read and must not be used to train any machine learning models, including
No one has told you about this. How does it feel to enter the Architecture profession? Does it match with what you had in mind? What turns out to be a fallacy? The content is created by me personally. It is meant only for people to read and must not
Buying software from the market vs. creating your own intellectual property. Or is there more to it? Timeless decisions that every organization must make for its own IT estate. The context of this article Before we go into details, let’s define the scope. This article is for large enterprises
