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I'm happy a VC is providing these insights. If the economics of AI don't make sense by helping increase profits or cutting costs... it's going to be a long road to reaching the "promised land."

I'm biased but in a lot of industries synthetic data has the potential to balance the costs from the perspective of data acquisition and preparation as well as model testing.

This article doesn't focus too much on the edge side of things but one pattern I'm seeing is that edge deployment can be notoriously resource intensive and time consuming.



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