Introduction to MLOps: The Concepts and Strategies that Get Models Reliably into Production
Introduction to MLOps: The Concepts and Strategies that Get Models Reliably into Production

Abstract: 

During this session we will be learning how to architect, instrument, deploy, and manage AI models of various types in production environments. Example code will be provided. It is recommended that attendees have a background in or familiarity with DevOps concepts.

Bio: 

Seph Mard joins DataRobot as a recognized industry leader of enterprise model risk management, model validation, model governance and best practices. Seph has more than a decade of experience applying data science to quantitative finance and risk management. As Director of Technical Product, Seph is a leader on DataRobot Product Management team where he is focused exclusively on ML Ops product management and strategy. Seph is bringing innovation into the world of Machine Learning Operations using DataRobot’s superior machine learning automation and data science edge. He holds dual M.Sc. degrees in Applied Mathematics and Econometrics.

Open Data Science

 

 

 

Open Data Science
One Broadway
Cambridge, MA 02142
info@odsc.com

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Youtube
Consent to display content from - Youtube
Vimeo
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google