Saul Miller

When it comes to AI, your model is only as good as the data it’s trained on. While it’s key to have a human in the loop when creating and verifying training data, automating processes within the workflow improves efficiency while guaranteeing high quality.

ML Assisted Annotation (MAA) powered by MicroModels are used to generate high quality pre-labeled and human-assisted annotations. Our annotaters validate ML generated labels that are constantly improving, instead of annotating from scratch. As a result, clients predictably get higher quality training data in half the time to bring their models to production faster.

We will discuss:

  • Introduction to MAA powered by MicroModels
  • Predictably producing 94-98% accuracy
  • Created 2-4x efficiency improvement for applied classes annotated
  • Applications in automotive use cases

Currently a Director of Product Management at Sama, Saul is passionate about the intersection of technology and social impact. He manages Sama’s data labelling products to ensure high quality training data efficiently and reliably reaches our customers. Experienced in both product and professional services, Saul is a proven leader who takes a data driven approach to expand Sama’s capabilities and features. When not at work, you can usually find Saul enjoying the outdoors and spending time with his family.

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