There is one thing that most AI implementations that fail in business have in common. They don't fail because they don't work, or even because they don't add value, but when they cease to be tolerable within the existing framework. Scaling up acts less as an accelerator than as a revealer.
What was acceptable as long as the use remained low-profile can become fragile when it becomes more exposed and changes scale. What was acceptable as long as it remained reversible and concerned only a small scope with controlled costs and therefore...
We thought we had replaced the power of the boss with highly rational approaches, particularly those based on data. A century of management science,...
Henri Fayol did not know agile organizations, collaborative platforms, or artificial intelligence, yet his name and work continue to be cited in management courses....
As the years go by, corporate governance finds itself caught between an increasingly complex and rapidly changing environment and the structural limitations of its operating model.
On...
The massive arrival of AI in businesses, with the underlying promise of replacing individuals, is reviving discussions on collective intelligence. After all, what is the...
In the world before bottlenecks were machines that could not keep up with the pace of other machines and completely blocked the production process. The result:...