Following is editor Len Tashman's preview of the 2021-Q4 issue of Foresight: The International Journal of Applied Forecasting. Preview of Foresight #63 (2021-Q4) FORESIGHT HALL OF FAME Adopting the idea from other journals that recognize outstanding contributions to the field through best paper awards, we are pleased to announce that
Tag: Len Tashman
Following is Editor Len Tashman's preview of the new issue of Foresight: The International Journal of Applied Forecasting. Preview of Foresight #62 (2021:Q3) This 62nd issue of Foresight has been heavily “infected” by the COVID pandemic. Stephan Kolassa’s book review of Resurrecting Retail by Doug Stephens raises the question of whether the
Following is Editor Len Tashman's preview of the new issue of Foresight: The International Journal of Applied Forecasting. Jonathon Karelse, author of the lead story, will be presenting in the Practitioner Track of the International Symposium on Forecasting (June 27-30). Preview of Foresight #61 (2021:Q2) For many years, we’ve identified
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.
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
Foresight Editor-in-Chief Len Tashman's Preview of the Fall 2019 Issue This 55th issue of Foresight opens with an article from Phillip Yelland, Zeynep Erkin Baz, and David Serafini of the Data Science/AI team at Target: Forecasting at Scale: The Architecture of a Modern Retail Forecasting System. The challenge of scale
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
Editor-in-Chief Len Tashman's Preview of the Summer 2019 Issue of Foresight This 54th edition of Foresight features an important new take on the role of judgment in the forecasting process. Normally, we see judgment applied to adjust a statistical forecast or supply a forecast directly. But here Fotios Petropoulos proposes
Editor-in-Chief Len Tashman's Preview of Foresight The Spring 2018 issue of Foresight—the 49th since our beginning in 2005—opens with a feature section on Supply Chain forecasting. More specifically, it addresses the very critical matter of how a company should determine its service-level targets, or the probability that no shortages occur between the time
Editor-in-Chief Len Tashman's Preview of the Fall 2017 Issue of Foresight Artificial intelligence (AI) is the name commonly given to the ability of machines to mimic the human aptitude to reason, solve problems, and learn from experience. Research in this field over the past few decades has spanned many disciplines,