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,...
Interesting conversation last week last week on twitter with Hutch Carpenter and Gil Yehuda about how long Enterprise 2.0 adoption takes. This question is...
McKinsey recently issued a report on enterprise web 2.0 projects which identifies what they think being the six success factors for such projects. Before...
As the "enterprise 2.0" phenomenon is more and more mature, reflections about "what it it" are being slowly replaced by thought about organization, the...