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 webinar, we 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.