AI is supposed to be transforming your organization but data leaders are finding that it is taking much longer than anticipated for their AI investments to get to full impact. At the heart of the problem is the process of converting proprietary data into revenue-generating AI and the exponential need for labeled data. To solve this, learn how leading enterprises have built an AI data engine that allows their teams to prioritize and iterate on the right data at the right stage of their project’s life cycle, enabling them to build lasting competitive advantage and get to production AI faster.

Just some of companies that Labelbox is working with to build AI applications:

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How to build a data engine for your organization

Just some of companies that Labelbox is working with to build AI applications:

Copyright 2021 - All Rights Reserved.

Privacy FAQ | Privacy Notice  | Cookie Notice | CCPA Notice | Terms of Use

ML Unboxed: How to diagnose and improve model performance

January 12: 11am PT

January 13: 8am PT/11am ET/4pm GMT

BLUEPRINT

Speakers:

Manu Sharma

CEO & Co-Founder, Labelbox

Peter Welinder

VP Product, OpenAI