But product & tech teams succumb to the pressure and move on to developing proof of concepts & even launch products that fail to achieve ROI
Why?
1- use cases are not well defined
2- not enough data or right data strategy
3- data and model architecture not founded well
I love Apple’s approach to AI, they shy away from the hype and focus on the fundamentals.
First the customer, product, then the tech that will add the value the customer needs.
What do you think are the top reasons generative AI applications succeed?
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