Abstract: 

Annotated Data is the foundation for building modern day AI systems. It is also one of the most time consuming and impactful stages in an ML pipeline, an aspect that gets amplified given the large amounts of data that is used to train the ML models and build these systems. At iMerit, we have industry leading experience in enabling our customers to train their ML models at scale and effectively deploy them. In this talk, I am going to highlight some of the best practices around data annotation and ML DataOps that help companies quickly develop, deploy and continuously update their ML models.

Bio: 

Sudeep George is the Vice President of Engineering at iMerit, where he develops production-ready frameworks for a data-centric approach to machine learning. He has a strong background in imaging sensors, computer vision and has built and manufactured multi-sensor computational imaging platforms for several market verticals.