Tag: Len Tashman

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Mike Gilliland 0
Preview of Foresight (Winter 2021)

Through the M4 and M5 competitions, we've seen the promising performance of machine learning approaches in generating forecasts. The SAS whitepaper "Assisted Demand Planning Using Machine Learning for CPG and Retail" describes a role for ML in augmenting the demand planning by guiding the review and override of statistical forecasts.

Analytics
Mike Gilliland 0
Preview of Foresight (Fall 2020)

After a day out shoveling snow from a freak early September storm, here is editor-in-chief Len Tashman's preview of the Fall 2020 issue of Foresight: The International Journal of Applied Forecasting. Preview of Foresight (Fall 2020) The Fall 2020 issue of Foresight—number 59 since inception in 2005—features the final installment of

Analytics
Mike Gilliland 0
AI: the hype and the promise for forecasting

Artificial Intelligence for Forecasting Can artificial intelligence augment and amplify our forecasting efforts? Will AI impact our forecasting roles and processes? Does AI deliver the automation and forecast accuracy we've been pursuing? These are the sorts of questions to be addressed by a stellar panel of world-class experts at the

Mike Gilliland 0
Guest Blogger: Len Tashman previews Winter 2013 issue of Foresight

Editor Len Tashman's Preview of Foresight Foresight has always presented its methods-based articles as either tutorials, which introduce and illustrate a methodology in nontechnical language, or as case studies, with a focus on the practical issues and challenges in generating forecasts. We lead off this issue with two practical issues articles. First, Stephan