Manage episode 287128001 series 2892863
This conversation was part of Fiddler's 3rd annual Explainable AI Summit on October 21, 2020.
Training and deploying ML models are relatively fast and cheap, but maintaining, monitoring, and governing them over time is difficult and expensive. An Explainable ML Monitoring system extends traditional monitoring to provide deep model insights with actionable steps. Our panelists discuss ways to increase transparency and actionability across the entire AI lifecycle using explainable monitoring, allowing for a better understanding of problem drivers, root cause issues, and model analysis through AI deployment.
For more information, please visit http://bit.ly/FiddlerPodcast
Peter Skomoroch, Machine Learning Advisor
Abhishek Gupta, Head of Engineering, Hired, Inc.
Natalia Burina, AI Product Leader, Facebook
Kenny Daniel, Co-Founder and CTO, Algorithmia
Moderated by Rob Harrell, Senior Product Manager, Fiddler