Ask the Expert Webinar Series

Composite AI Using Forecasting and Optimization

On-Demand • Cost: Complimentary

About the webinar

Composite AI using optimization delivers practical and interpretable results.

It provides real-time decision-making capabilities and delivers immediate insight that can benefit a company’s bottom line.

This session will show how forecasted values, generated from time series models, can be integrated into an optimization model to provide practical guidance and decision making under uncertainty.

The model results can be used to streamline business operations by moving from reactive to proactive decision making.

Sometimes, forecasts alone don’t provide a complete solution to complex business problems with many moving parts.

The techniques presented during this webinar can be applied across every industry.

An intermediate skill level is recommended, but all skill levels can benefit from learning the techniques presented.

You will learn how to:

  • Combine forecasting with optimization for strategic decision making under uncertainty.
  • Revise model recommendations in real time amid new requirements and changing information.
  • Accommodate custom scenarios to answer specific questions.
  • Use the functionality within the OPTMODEL procedure to achieve these objectives.

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About the Experts


Jay Laramore
Senior Analytical Training Consultant, SAS

Jay Laramore has worked at SAS since 2015. He currently develops and teaches education courses in econometrics, time series forecasting, network analysis and optimization. Previously, Laramore worked in the analytical consulting division at SAS, where he built and deployed a variety of analytical solutions for customers. Prior to joining SAS, Laramore worked as an analytical consultant in the marketing and retail fuel industries. He earned a master’s degree in economics from the University of North Carolina at Greensboro and a bachelor’s degree in economics from Roanoke College.


Rob Pratt
Senior Manager of Advanced Analytics R&D, SAS

Rob Pratt has worked at SAS for more than 20 years and is a Senior Manager in the scientific computing department in the analytics R&D division. He manages a team of developers responsible for the optimization modeling language and solvers for linear, mixed integer linear, quadratic and conic optimization. He earned a BS in mathematics (with a second major in English) from the University of Dayton, and both an MS in mathematics and a PhD in operations research from the University of North Carolina at Chapel Hill.

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