In my experience, those folks think of AI like...
My company is collecting tons of data in [insert data warehouses here]. How can I bolt on some "AI" and find out what's "interesting"?
In my experience, those folks think of AI like...
My company is collecting tons of data in [insert data warehouses here]. How can I bolt on some "AI" and find out what's "interesting"?
For quite a few business types, this can be further simplified to just:
How can I bolt on some "AI"?
It's a nice bonus if you have some data and can find interesting things from it. But the goal for a surprising number of managers is just to be able to say they have some advanced AI technology doing, well, who knows what, just so long as there is definitely some advanced AI technology doing it.
There does seem to be a lack of available tools even for someone with a well-defined problem with available labelled data to validate implementing machine learning to a problem. I think that there's a need out there for a software with a GUI that can accept data and let you try some ML approaches with it and take the coding out of it - and it doesn't seem like it would be insanely difficult to build.