What Did We Learn Labeling 13 Billion Units of Training Data?

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Presented by Appen

Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative arti­ficial intelligence systems.

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The AI system you build is as good or bad as the data you have trained it on. Whether you are training a self-driving car, building a customer service chatbot, or diagnosing diseases with AI, a scalable training data strategy is integral to your success.
In this session, we will discuss how much training data is enough, how to effectively manage quality, quantity, and throughput in your data, and more!

Meeta Dash

VP of Product at Appen As VP Product at Appen Meeta is building a machine learning data annotation platform focused on Computer Vision, Autonomous Vehicles,

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