On-Demand Webinar

DECISIONS YOU CAN TRUST

Identifying Model Drift Before It Is Too Late


About the webinar

Business decisions that rely on analytical models could be suffering from model drift.  The real impacts are likely to be flawed decisions that effect the bottom line. Now, more than ever, contactless commerce is reshaping consumer behavior and the “new normal” has brought about an immediate need to adjust to the global COVID-19 situation.  

Join this webinar to learn:

  • How to prevent data drift when a model that is trained for historical data starts changing when it encounters data that was out of scope during training.
  • How to monitor and manage model accuracy when predictive accuracy starts decreasing substantially.
  • Rapid model calibration with upstream behavior.  For example, in the instance of a recommendation system that affects consumer behavior. If this behavior suddenly changes, then your model may no longer be appropriate.

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About the Experts


Jacky Long

Global Technology Practice – Model Management, SAS

Jacky is a member of the SAS Global Practice and has implemented analytic lifecycle solutions with a large bank in Brazil, several telecoms in the US and Philippines, a Korean semiconductor manufacturer and multiple government agencies to name a few.  These solutions include model performance monitoring, standardization of the life cycle processes, assistance with regulatory compliance and workflow development.  


Natalie Mendes

Analytics Marketing Specialist (ABM), SAS

Natalie is an data-driven marketer working with enterprise customers across the Asia Pacific to assist in maximizing their analytics investments to make business impact.  She brings 20 years experience across several industries, delivering complex data and analytics projects including social network analytics, text analytics, forecasting and machine learning to solve common yet sophisticated business problems.  Leveraging this experience, Natalie is now part of the marketing team and brings her technical marketing know-how to assist customers business needs.

Register now