Does our experience with mobile computing have relevance for our predictions about useful and commercial use cases for artificial intelligence? Possibly.
Initially, mobile internet, for example, was sort of a “mobile version” of the desktop experience, allowing users to keep doing things they were doing at their desks. But the mobile experiences sometimes were "de-featured" versions of what could be done on desktop devices. Mobile email was a salient exception: mobile utility was higher and ease of use about the same.
The analogy is mobile voice, which allowed communications away from the desk or cordless phone. Lots of value was created.
Then we moved into an era where the mobile device was the preferred device for many use cases, including photo sharing and social media.
The proliferation of mobile apps was a characteristic of that era, where hotel check-in, for example, was expected to be invoked on a mobile device.
Now there are many use cases where mobile is itself the native environment, preferred to desktop use cases which do not work as well, if at all. Turn-by-turn driving instructions or ride-hailing services provide examples.
The difference in the case of AI is that development has not been strictly linear. At least in terms of expectations, we have moved through alternating periods where expectations were greater or lesser.
It might be quite fair to say that interest in the near-term value of artificial intelligence has moved through periods of inflated expectations before, even if we are at present in a period of high anticipation.
Historically, interest in the immediate value of artificial intelligence has waxed and waned.
source: Medium
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