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Ask HN: What are the biggest pitfalls in AI adoption?
Hi everyone! I would like to know your thoughts about the common pitfalls to make startups/business AI-powered.
- PaulHoule 7y ago#1 is that people don't want to do the effort to make training sets specific to their purpose. The table stakes for a text analysis project are to annotate from 3,000 to 30,000 examples. A well caffeinated, motivated and trained annotator can annotate maybe 2,000 examples a day so this is very feasible but people would rather spend the person*days screwing around with Tensorflow, NVIDIA drivers, BERT, and whatever is the new shiny rather than do the work which is on the critical path.
- ReDeiPirati 7y agoGreat point!