Hannover Messe 2026 - Accelerate data insights with agentic data exploration
Agentic AI for data exploration can cut manufacturing root-cause analysis from 35 days to 1-2 days.
“Had I had this in the beginning, I could have crunched that down to one or two days.”
An AWS field CTO at Hannover Messe 2026 argued that agentic AI has reached an inflection point for data exploration, using a manufacturing root-cause analysis that took 35 manual days as an example of work that agents could compress to one or two days. It highlights the practical pull for breaking down data silos in industrial settings, but it is a vendor use-case pitch rather than a major industry announcement.