For two years now, artificial intelligence projects have been multiplying in businesses, often with a mixture of urgency and fascination. But despite sometimes flawless technical deployments and widespread individual use, at least in the private sphere (Why the widespread adoption of AI by consumers says nothing about its future in the workplace), the effects on organizations often remain disappointing.
Productivity is increasing, but only in certain areas, and tools are multiplying, but the operating accounts show no sign of improvement. The reason is simple: AI projects are rarely led by the right people,...
What's important when a social collaboration project starts is to gauge one's effort and expectations according to one's potential.
It's been nearly ten years that...
How to male employees adopt social and digital technologies ? That's one of the first questions any business undertaking a digital turn must answer....
In what category should we put things like social business, social collaboration, enterprise 2.0, social CRM and all these new concepts that flourished during...
We should not expect an application to work in environments for which its assumptions are not valid
Eliyahu M. Goldratt
As you may have noticed, that's...
