Anthropic has forged an alliance with Sweden's IFS for the purposes of "industrial AI."

“It’s about applying A.I. to environments surrounded by sensors and machinery, with people on the ground making high-stakes decisions every minute,” Sharma said. “Industrial A.I. can listen to a turbine and warn of a fault before it happens or ‘see’ subtle changes in a pipeline that would take a human hours to detect. It connects planners, technicians and assets in real time to improve yield, reduce costs and keep frontline operations running safely.”

(Source: The Observer, "Anthropic Expands Into Industrial A.I. Through Partnership With IFS | Observer")

That's all well and good. But the description of "industrial AI" looks a lot like use cases that existed for predictive ML about a decade ago.

This isn't a jab at predictive ML models, either. That technology is great and it's road-tested. That's precisely why I look at this take on "industrial AI" and ask what special powers genAI brings to the table.