Category: Data, automation, artificial-intelligence

Machine learning has increasingly become a commodity. The competition is not anymore about who does AI, but who can do it better and faster.

Engineers are not writing code anymore, they feed data to their model which in turn will “write their code”.

Scale AI wants to help companies by removing the labeling part out of their plate so that they can focus on the more strategic parts of their machine learning workflow.

Most of the data labeling is done automatically leverages machine learning models, only leaving the edge-cases to humans.

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