the Apple‘ Genius Bar,’ where staff can bring their prompting problems to experts. This ensures that individual productivity gains are shared across the collective ambition of the firm, preventing silos where only a few“ power users” benefit from the tech.
The edge vs the cloud For a global energy technology leader, the decision of where to run AI – at the edge or in the cloud – is a matter of physics and policy. Philippe identifies two primary drivers for this decision: data sovereignty and speed.
“ I would say probably the first level of decision between edge and cloud is data,” he continues.“ Where is the data? Is the data stored only locally?
Is the business case or the customer okay with having it in the cloud?”
In the industrial world, cybersecurity concerns often dictate that AI must run locally.
The second factor is latency.“ For automatic visual inspection, you don’ t have the time,” Philippe notes.“ When your machine produces a bottle of milk every 100 milliseconds, you don’ t have the time to send it to the cloud, analyse the picture and send it back. So, the second reason to be on the edge is the speed.”
Consequently, Schneider’ s solutions must be versatile enough to run in both environments. This hybrid approach is critical for real-time grid management where a millisecond delay is the difference between a successful batch and a line stoppage.
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