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Category: Digital Transformation

Exploring digital transformation of individuals, organizations and business models to anticipate its effects and understand how to navigate it.

AI: Moving beyond the myth of maturity

The issue of artificial intelligence in the workplace, as has been the case with many technologies in the past, is almost always approached through a lens that seems self-evident. We talk about maturity as stages to be completed, as if organizations were following a relatively orderly trajectory, moving from embryonic uses to a more advanced and controlled state. This way of framing the issue has the advantage of simplicity because it gives the impression that the difficulties observed are temporary, whether in terms of skills, tools, or methods, and that...

AI: Moving beyond the myth of maturity

The issue of artificial intelligence in the workplace, as has been the case with many technologies in the past, is almost always approached through...

5 archetypes of businesses facing AI

The differences in approaches to artificial intelligence cannot be explained by the level of equipment, access to talent, or even the quality of data,...

Four possible scenarios for the adoption of AI in the workplace

Through experimentation and as organizations mature, we now know pretty much everything we shouldn't expect from AI. We know that use is not enough...

When vendors and consulting firms talk about AI, they are not talking about the same thing.

Over the past two years, publications on artificial intelligence in business have multiplied, offering us an increasingly dense but also increasingly fragmented landscape. Two main types...

Why AI initiatives always fail for the same reasons

The failure of artificial intelligence projects is often presented as the result of a problem of maturity, skills, or even governance (Without governance, the...

Adopting AI: should we start at the top or the bottom?

Since the question of adopting AI in the workplace has been raised, as has historically been the case for all technologies, the question arises...

Two interpretations of AI in the workplace: agentic uses and capability overhang

At the start of this year, two reports were published that offer a seemingly contrasting view of the state of artificial intelligence in organizations. What...

The problems that arise when AI scales up

There is one thing that most AI implementations that fail in business have in common. They don't fail because they don't work, or even...

AI is transforming HR, whether it wants to or not

When you read reports from leading firms on artificial intelligence, you might think that the transformation is mainly happening on the technology, model, or...
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