Optimizing Machine Learning Processes with Experiment and Model Management

As companies begin to move machine learning models into production there are a variety of factors that need to be addressed. In this podcast Cognilytica analysts Kathleen Walch and Ronald Schmelzer interview Gideon Mendels, CEO of Comet. He discusses challenges organizations face today with trying to bring ML models into production, why it’s important to have a tool for data scientists and teams to track, compare, explain and optimize experiments and models, and where ML Ops fits into the overall ML ecosystem.

Continue reading AI Today Podcast: Insights into the future of ML Development: Interview with Gideon Mendels, CEO of Comet at Cognilytica.