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The Sequence Scope: The Emerging Market of Data Labeling

5 min readAug 9, 2020

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The Sequence Scope is a summary of the most important published research papers, released technology and startup news in the AI ecosystem in the last week. This compendium is part of TheSequence newsletter. Give it a try by subscribing below:

📝 Editorial: The Emerging Market of Data Labeling

Metadata management has historically been one of the most boring markets in enterprise software. And it was, until machine learning came along. Supervised learning models need labeled datasets for training, and those are expensive to create and maintain. Suddenly, the boring metadata management space found a new purpose and as a result, a new generation of startups emerged trying to solve the problems of data labeling for machine learning models. Venture capital dollars have been flowing into the data labeling space, making it one of the few areas of the machine learning market in which startups have a chance to compete with technology giants like Google, Amazon or Microsoft.

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Jesus Rodriguez
Jesus Rodriguez

Written by Jesus Rodriguez

Co-Founder and CTO of Sentora( fka IntoTheBlock), President of LayerLens, Faktory and NeuralFabric. Founder of The Sequence , Lecturer at Columbia, Wharton

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