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...
When a company wants to start its digital transformation the first natural reflex is to question the customer experience at each touchpoint To focus...
