“Most of the time, the AI affects confidential data or commercial data,” explains Aerni. “Then, reflection on architecture and what the workload should be public against private, or even on premium, becomes a real question.”
The public cloud still offers maximum scalability for AI projects, and in recent years, CIOs have been convinced by the number of additional capacities available, he says.
“In some of the conversations I had with CIOs, let’s say five years ago, they mentioned:” There are so many features, so many tools, “added Aerni. “Now, when I have the same conversation, they say:” In fact, I don’t use these tools much now. “They all seek stability and predictability.”
