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,...
Summary : email causing organizational unwieldiness and information loss is nothing new. Businesses like ATOS decided to fix this issue once for all, using...
Summary : tomorrow's organization will be connected and communicative. This is the only way to success in the knowledge economy. But communication and exchange,...
Summary : one of the most frequent arguments used in favor of the implementation of an internal social network is productivity improvement through the...
