Opening the “Black Box”: Model Validation in the Age of AI

Share this Session:
Share on facebook
Share on twitter
Share on linkedin
Session Date & Time:
On Demand
Days
Hours
Minutes
Seconds

Presented by DataRobot

DataRobot is the leader in enterprise AI, delivering trusted AI technology and ROI enablement services to global enterprises. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.

  • Session Description
  • Presenters
  • Additional Resources

Recent technological advancements have accelerated the integration of AI and machine learning models into more and more processes. However, model risk must be effectively managed. If left unchecked, the consequences of model risk can be severe.  AI and machine learning models require constant monitoring and effective validation – this is not only a regulatory requirement in many industries but also sound business practice.

On this webinar, Seph Mard, Head of Model Risk Management at DataRobot and Peter Simon, Financial Markets Practice Data Scientist at DataRobot will present the cornerstones of effective modern model risk management in the age of AI and machine learning. It provides:

  • An overview of AI and machine learning
  • A summary of the regulatory background and the machine learning model lifecycle
  • An overview of the challenges and emerging best practices for the validation of models in an ever-changing world of AI and machine learning
Login to View Content

Login Or Register

Event Registration

Almost there!

We need to confirm your email.

You're Almost thEre!

Check your Email for Confirmation and Login Instructions

You will receive an email confirming your registration – please click on the link in the email to confirm.

Login instructions will also be provided in the email. If you don’t get the email, please let us know at info@cognilytica.com.