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,...
Whatever people say in public, there's something wrong with social collaboration. There are more and more initiatives, these initiatives have an increasing success rate...
Digital transformation is something binary. Historically, it's been made of two disciplines. An internal one, collaboration, collective intelligence and efficiency driven and an external...
