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Stabilize to move forward: why experimentation alone does not produce results with AI

Since the advent of AI, many businesses have adopted a stance of continuous exploration, as if multiple trials would create a lasting movement. They test, compare, and observe, convinced that this activity will pave the way for the future and that some form of progress will automatically (or magically) emerge from this effervescence. AI, due to the fast way in which initial results are obtained, further reinforces this impression, but when we examine what is actually happening, the reality is completely different. Trials follow one another without any follow-up, lessons...

Without governance, the gains from AI are virtual

Businesses often talk about the benefits of AI, particularly in terms of productivity and revenue, as if they were the logical outcome of successfully...

Can we break free from Gartner’s Hype Cycle or reach the plateau of productivity faster?

Gartner's Hype Cycle has become a kind of law of gravity in the world of technology. Each technology follows a well-defined path: collective excitement, disillusionment,...

Why employee silence is management’s biggest failure

In many businesses, silence is interpreted as a sign of serenity. No apparent tensions, few disputes, meetings where everyone agrees, HR barometers that aren't...

Metaverse: where do we stand 5 years later?

It's 2020: the metaverse is on everyone's lips, it's the future of the internet and the web, huge investments are being made and some businesses...