IoT Signals

During the coronavirus, we had a problem with the return of empty bottles. It wasn't easy to fill in the gap, but we noticed the gap in the first place because of the data that we had through our IoT solution. The manufacturing plant can automatically adapt to increased demand. We also call it the smart factory.

Pracovník s rozhodovací pravomocí v oblasti IT pro výrobu nápojů

It took standing the IoT solution up in one of the utilities, and that utility demonstrating the value. I had a hundred thousand avoided truck rolls this year. Ascribe a cost to every one of those truck rolls, and that is impactful to the bottom line. And I've got a hundred thousand customers that I didn't make wait to figure out what their problem was. I immediately started to triage with them.

Pracovník s rozhodovací pravomocí v oblasti IT pro energetiku a veřejné služby

We layer AI on top of our IoT solution to do predictive maintenance. We know historically that pump B is going to fail at a specific point, so we can send the technician out before it fails.

Pracovník s rozhodovací pravomocí v oblasti IT pro zdravotnictví

Engineering generates a digital 3D point cloud of every part we manufacture, down to the exact physical characteristics. We take this digital twin and optimize it mathematically without ever having to put it in the jig in the first place. When we do that, we find much better configurations. The number of combinations would typically be 92 factorialized—that's infinitely more combinations than there are atoms in the universe. Using the digital twin, we can spit out a better outcome virtually than we can physically. We can do it in hours, not in days.

Pracovník s rozhodovací pravomocí v oblasti IT pro vodní a energetické technologie, USA