Abstract: 

You've invested significant time and resources into developing your machine learning models. But how do you get these models to production and manage all stages of the operational lifecycle? Datatron is a machine learning operations (MLOps) and model governance platform that manages all stages of the ML lifecycle.
In this session, we will demonstrate Datatron in action and show you how our platform solves common challenges in deploying, governing, monitoring models, and managing the ML lifecycle in a centralized model catalog. We will also discuss how Datatron handles the underlying MLOps infrastructure and operations related to security, scalability, and governance. Finally, we will demonstrate the governance dashboard that surfaces metrics such as biases and anomalies.

Bio: 

Rohan Khade is a machine learning and data mining researcher with 10 years of experience working in academia and in collaboration with the industry. Spearheaded research into novel real world machine learning algorithms for large streaming data which improved the current state of the art by 20% in the semiconductor manufacturing industry and reduced feedback time to users from days to hours. Skilled in machine learning, data mining, problem solving, and programming.