If you have an example, please explain why it is AI and not just a computer program.
Sounds like smoke and mirrors to me.
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If you have an example, please explain why it is AI and not just a computer program.
Sounds like smoke and mirrors to me.
Also AI always means "a level of intelligence we haven't achieved yet." Siri could've been considered AI in the past.
1. It's not for an adtech or financial application.
2. It's not for a company that's primarily adtech or finance.
Though clearly AI has value, it seems in practice much of it is implemented for things of questionable human value.
Some examples:
1. Search (some argue the heavy personalization has made it actually less accurate, but that's subjective).
2. Computer vision (main monetization seems to be computer vision/filters. Self driving cars will be useful if and when that comes to fruition)
3. Handwriting recognition. I think this is a great example of AI being helpful. I'm not sure how much of this is "AI" vs. just statistics and machine learning. Maybe it's all the same, in this context.
Additionally, I'd love to see where it is being used where: 1. It's not for an adtech or financial application. 2. It's not for a company that's primarily adtech or finance. Though clearly AI has value, it seems in practice much of it is implemented for things of questionable human value. Some examples: 1. Search (some argue the heavy personalization has made it actually less accurate, but that's subjective). 2. Comp…
Additionally, I'd love to see where it is being used where: 1. It's not for an adtech or financial application. 2. It's not for a company that's primarily adtech or finance. Though clearly AI has value, it seems in practice much of it is implemented for things of questionable human value. Some examples: 1. Search (some argue the heavy personalization has made it actually less accurate, but that's subjective). 2. Comp…
It's a funny thing that handwriting recognition is seen as worthwhile. Who writes by hand any more, and who prefers handwriting to a keyboard?
Edit:
To expand on this a little more... I think it's important to remember that "AI" isn't a "thing" so much as a "field" or a family of (possibly somewhat related) techniques. That is, AI includes specific algorithms and approaches ranging from automated reasoners and inference engines, to pattern recognition using deep learning, to evolutionary algorithms, planning algorithms, etc., etc. What there isn't yet is one single artificial general intelligence that we can talk about as the be-all end-all of AI.
So yeah, individual organizations are using AI techniques all over the place. But nobody is using "AI" because it doesn't exist yet.
In 2016, investors decided to make AI a new priority (it kinda was there for ever). So all the tech companies use this word today to stay "relevant".