Amidst cost cutting, how are new capabilities, like machine learning, explored? Does the Vista "formula" allow for speculative research and development?
They have a process for handling machine learning specifically, and integrating machine learning into existing business processes where best suited. The types of data and problems machine learning solve are well defined.
We do quite a bit of general research and proof of concept as a part of our backlog, so the budget is there.
> The types of data and problems machine learning solve are well defined.
What do you/Vista consider to be the well-defined problems that machine learning solves? My understanding is that it is less well defined but I'd like to know what you think.
We do quite a bit of general research and proof of concept as a part of our backlog, so the budget is there.