Artificial intelligence has changed status.
The challenge is no longer experimenting with AI, but deploying and scaling it, with requirements comparable to those of a production line: performance, security, governance and continuity. This shift can also be attributed to a gradual standardisation of approaches: after years of ad hoc set-ups (homemade servers and stacks), AI is becoming industrialised around more codified platforms that combine hardware and software.
It is no longer simply a question of having computing power:...