DBTB INT Ruban Phukan
summary
DataRPM positions itself to automate data science for industrial use, focusing on machine data and IOT where the claim is opportunities reach trillions of dollars. The pitch argues scaling comes from automation not hiring, citing a shortfall of almost 1 million data scientists in coming years. Emphasis falls on operationalizing models to solve business problems, combining algorithms with domain context rather than just more statisticians or raw examples.
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