AI vs Unstructured Data: Best Practices for Scaling Video AI

A common challenge for teams working on video machine learning applications is how to scale and automate their ML lifecycle when working with these types of large unstructured datasets. In this latest Data Science Central webinar, Vincent Koops, Senior Data Scientist at RTL Netherlands, will walk through their Video AI platform at RTL and how they’ve addressed these challenges. Their platform is built on top of Pachyderm and Kubernetes to enable a wide range of ML applications such as automatic thumbnail picking and mid-roll marking. Attendees will learn: - How to take a modular approach to creating a scalable and automated ML platform - The challenges and best practices when working with unstructured data like video clips - Considerations your teams need to make to prevent human error while getting the most out of AI and ML