“Investment in AI has reached a new high with a focus on generative AI, which, in most cases, has yet to deliver its anticipated business value," Gartner has said.
I think that at the bottom of the trough people will stop caring about it altogether except for functionality that has been proven to be useful for
You’re describing the “plateau of productivity”, which is built into this theory:
From this trough of disillusionment the new technology then starts climbing the “slope of enlightenment” where people realistically reassess how the technology can be applied in useful ways, before it reaches the “plateau of productivity” where the new technology is incorporated into the market and and ideally starts to slowly pay off and grow.
and I agree with you! it’s clear that there are good use cases for AI (see this article i posted in Science), we just need to apply it correctly and not overpromise!
You’re describing the “plateau of productivity”, which is built into this theory:
Not quite - the plateau represents all useful ways that the tech can be used; what I’m describing is not even a fraction of that, it’s only the stuff that is too obvious to pass.
Thank you for the link - I’m going to give it a check now!
You’re describing the “plateau of productivity”, which is built into this theory:
and I agree with you! it’s clear that there are good use cases for AI (see this article i posted in Science), we just need to apply it correctly and not overpromise!
Not quite - the plateau represents all useful ways that the tech can be used; what I’m describing is not even a fraction of that, it’s only the stuff that is too obvious to pass.
Thank you for the link - I’m going to give it a check now!