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Who is handling your artificial intelligence projects? Probably not the right people.

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,...

How long does enterprise 2.0 adoption take ?

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 identifies 6 key sucess factors for enterprise 2.0

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...

Enteprise 2.0 : stop self-medication

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...

Change…but not everything at once

There's one common question with no absolute answer : "ok, since I decided to implement social software within my company, how do I have...

When 2.0 dissolves into businesses

If there's a big confusion around enterprise 2.0 it's because of its perimeter, what  makes the concept very nebulous for novices and even for...