How to Make an AI Talent Factory
Dataiku
APRIL 7, 2022
Twenty years ago, the product recommendations team at Amazon.com could hire as many data scientists as they wanted and hired Ph.D.’s in computer science, mathematics, and economics. Ten years later, a San Francisco-based startup that also did product recommendations raised $100 million in venture capital, served 600 million shoppers per month, but had difficulty hiring top data science talent since the best candidates were all going to Google and Facebook.
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