Don't forget huge retail chains. Infinitesimal improvements in their operations can leverage, especially when compounded, sizable improvements to profit margins.
For instance, as GigaMart, if your ML system finds that you are going to need widget-x in region y two weeks ahead of time, you can plan for that including the logistics and inventory.
Hospitals? I'm sure there are lots of things in the day-to-day operations that correlate with patient outcomes that currently go unnoticed.
Etc etc. It's not about creating a huge new invention, mostly it's about creating improvements to operations of current incumbents.
That's how my company would apply the platform to our work. My boss is there now, will be interesting to see what he find out vs what we're doing with our current IBM platform.
Health care. If you're running on-prem, it does a good job of integrating Kubernetes where it's not something my data scientists have to worry about. Also fairly easy to tie in our data mart and all of our databases - MS, Oracle, DB2, MongoDB, etc.
But why would you choose this solution with those terms rather than something without those terms, even if it is an in-house application if significant investment is put towards it that is an asset that your enterprise now has and those terms are now in your enterprise poisoning it. Actually I can think of the large enterprises I've worked for and Legal would probably not have allowed those terms.
For instance, as GigaMart, if your ML system finds that you are going to need widget-x in region y two weeks ahead of time, you can plan for that including the logistics and inventory.
Hospitals? I'm sure there are lots of things in the day-to-day operations that correlate with patient outcomes that currently go unnoticed.
Etc etc. It's not about creating a huge new invention, mostly it's about creating improvements to operations of current incumbents.