Why the semantic layer is a key high-leverage unlock for AI in fashion retail
AI creates value when it operates inside the context of your business. The semantic layer is how you give models and agents that context, and product data is only one part of it.
The Wrong Reflex
When enterprises recognise the need for a semantic layer, the instinct is to buy a tool. That instinct skips the only step that produces durable outcomes: designing what the organi
Context is King
Every technology cycle creates words that become popular faster than they become understood. Context, semantics, and meaning are now central to AI scaling.
How Shein industrialised the fashion value chain, and what every retailer can learn
Years ago Inditex revolutionised the fashion operating model. Store managers fed back daily on what was selling and what customers were asking for. Production sat close to home in
From Enterprise Search to Agentic AI: The Same Information Problem Returns
Every major technology wave changes what organisations expect from their internal information systems. When smartphones became mainstream, companies wanted responsive intranets and
The Information Factory: Building production processes for knowledge
The organizations succeeding with AI have not found better algorithms. They have built better production systems for information. Most organizations treat information as a natural
The Data and Integration Layer
Part 3 of AI Transformation: From Ambition to Impact AI initiatives create value at scale when they operate inside the analytical and operational context of the business. Outside o
From Tin Man to Octopus – Organizational design for complexity
There is a distinction in systems theory that most management teams never encounter, yet it explains why their organisations increasingly feel unmanageable. The distinction is betw
How to build an AI use case portfolio: a practical framework
Part 2 of 4 — AI Transformation: From Ambition to Impact One of the questions I get most often is some version of: "What is the AI use case that…
Why AI initiatives fail
And why the explanation is organisational, not technical Enterprise AI is not failing because the models are weak. It is failing because most organisations are not designed to abso
How aligned AI investment builds compounding value.
Part 1 of 4 — AI Transformation: From Ambition to Impact AI investment usually starts with a burst of energy and a lot of separate budgets. A few years in,…
The Productivity Trap
A familiar management reflex still dominates organisational thinking: if we optimise output per unit of time, everything else will follow. Productivity is assumed to be unambiguous
Agentic Commerce: A Practical Guide for Retailers
Agentic commerce is gaining traction as AI platforms position themselves to handle end-to-end shopping experiences. OpenAI's recent commerce protocol launch makes the intent clear:
Information is no longer a by-product.
In many cases, the information generated is more valuable than the transaction that produced it. Yet most organisations still treat this information as exhaust: captured incidental
From Industrial Age to Information Society
We live in an information society. This has been broadly accepted for decades. Executives nod along in strategy meetings. "Data is the new oil" has become so worn it's almost meani
Building a Modern Data Landscape in the Age of AI
The enterprise data landscape is evolving rapidly. Many traditional architectures are struggling to keep up, facing challenges with data silos, vendor dependencies, and technical d
Content Sprawl is not a Technology Problem
There is a question that surfaces in nearly every organisation running Microsoft 365: Where did we put that document? It is not a rhetorical question. It is asked daily, in…
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