But the world operates differently today. Companies own less infrastructure, inventory and manufacturing equipment than ever. They’ve outsourced everything from customer service to supply chain. And a growing portion of their workforce is not on their full-time payroll.
MetaMind delivers Artificial Intelligence enterprise solutions via its AI platform and Smart Module offerings. The general-purpose platform can predict outcomes for language, vision and database tasks, and delivers best in class accuracies on standard benchmarks.
A reader recently pointed my attention to the following quote from the composer and artist John Cage:
“If something is boring after two minutes, try it for four. If still boring, then eight. Then sixteen. Then thirty-two. Eventually one discovers that it is not boring at all.”
The scientific method, based in deduction and falsifiability, is better at proliferating questions than it is at answering them.
As a result, predictive API providers will face increasing pressure to specialize in one or a few verticals. At this point, elegant and general APIs become not only irrelevant, but a potential liability, as industry- and domain-specific feature engineering increases in importance and it becomes crucial to present results in the right parlance. Sadly, these activities are not thin adapters that can be slapped on at the end, but instead are ravenous time beasts that largely determine the perceived value of a predictive API. No single customer cares about the generality and wide applicability of a platform; each is looking for the best solution to the problem as he conceives it.