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Recognizing and Overcoming Data Annotation Challenges for Enterprise Machine Learning
Access to timely, adequate volumes of high-quality labeled data is one of the biggest barriers to optimizing model performance and effectively productizing enterprise ML solutions. The good news is that as an increasing number of computer vision models make it into production, best practices are crystallizing.

In this interactive webinar, we’ll share lessons learned from Sama’s 10-year track record of helping Fortune 500 companies scale their ML models.

You’ll learn:
-How to recognize and deal with pervasive yet avoidable data labeling challenges that slow the path to production.
-How to ramp up agents and provide calibrations to maintain task reliability over time, even at scale.
-How Sama Pro — our integrated ML-powered platform coupled with human-in-the-loop validation — streamlines your AI development by bringing you high-quality labeled data, fast.


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Megan McNeil
Product Manager @Sama
Megan combines her passion for delightful user experiences and innovative technologies in her role as Product Manager for Sama’s 2D image and video data labeling solutions. With 8 years of digital product development experience under her belt, Megan is well-versed in end-to-end product development implementation in both B2C and B2B enterprises with SaaS and custom solutions.