Author

Mike Gilliland
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Product Marketing Manager

Michael Gilliland is a longtime business forecasting practitioner and formerly a Product Marketing Manager for SAS Forecasting. He is on the Board of Directors of the International Institute of Forecasters, and is Associate Editor of their practitioner journal Foresight: The International Journal of Applied Forecasting. Mike is author of The Business Forecasting Deal (Wiley, 2010) and former editor of the free e-book Forecasting with SAS: Special Collection (SAS Press, 2020). He is principal editor of Business Forecasting: Practical Problems and Solutions (Wiley, 2015) and Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning (Wiley, 2021). In 2017 Mike received the Institute of Business Forecasting's Lifetime Achievement Award. In 2021 his paper "FVA: A Reality Check on Forecasting Practices" was inducted into the Foresight Hall of Fame. Mike initiated The Business Forecasting Deal blog in 2009 to help expose the seamy underbelly of forecasting practice, and to provide practical solutions to its most vexing problems.

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Announcing: SAS/IIF Research Grants

The International Institute of Forecasters and SAS® announce two $10,000 grants to support research on forecasting. Per the announcement: Forecasting research has seen major changes in the theoretical ideas underpinning forecasting effectiveness over the last 30 years. However, there has been less impact on forecasting practice. We aim to put this right.

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The Forecaster as The Confidence Man

Everyone is familiar with The Confidence Man. This person can spout any sort of nonsense and easily demonstrable lies, and yet 40% of the people still believe him. The Confidence Man exposes a curious characteristic about human behavior: If you make your assertions with extreme confidence, no matter how obviously

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Preview of Foresight (Summer 2020)

Following is editor-in-chief Len Tashman's preview of the Summer 2020 issue of Foresight: The International Journal of Applied Forecasting. Preview of Foresight (Summer 2020) The Summer 2020 issue of Foresight—number 58 in this, our fifteenth anniversary year—addresses fundamental issues related to (a) the criteria for choosing among forecasting methods, (b)

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SAS Viya Forecasting Cookbook

You may be familiar with the online text Forecasting: Principles and Practice, by two of the very top contributors in the field, Rob Hyndman and George Athanasopoulos. (Both are at Monash University in Australia. Rob was longtime Editor-in-Chief of the International Journal of Forecasting, and George is currently President of

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Forecasting with SAS (free eBook)

Forecasting with SAS®: Special Collection SAS Press has added to its selection of free downloadable eBooks with the new Forecasting with SAS®: Special Collection. From the description: Want to get the most insight out of your data and improve the quality of your forecasts? SAS offers many different solutions to

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Preview of Foresight (Spring 2020)

Following is editor-in-chief Len Tashman's preview of the Spring 2020 issue of Foresight: The International Journal of Applied Forecasting. Preview of Foresight (Spring 2020) This Spring 2020 issue of Foresight—number 57 since the journal began in 2005— leads off with Associate Editor Mike Gilliland’s discussion of The M4 Forecasting Competition:

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Preview of Foresight (Winter 2020)

Following is editor-in-chief Len Tashman's preview of the Winter 2020 issue of Foresight: The International Journal of Applied Forecasting. Preview of Foresight (Winter 2020) This Winter 2020 issue of Foresight—number 56 since the journal began in 2005—formally introduces a new section: Integrated Business Planning (IBP), the meaning of which is evolving

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SAS job opportunity: forecasting and machine learning specialist

The SAS Forecasting R&D team has an open position for a Forecasting and Machine Learning Specialist (apply here). What you’ll do As a Forecasting and Machine Learning Specialist on the SAS Forecasting R&D  team, you will help create innovative software to apply cutting-edge statistical methods to automated enterprise-scale business forecasting processes. You will:

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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

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Predictive applications in IoT

The value of any data lies, of course, in its use to make better decisions that lead to more favorable results – like increased revenue and profit, improved customer satisfaction, and increased safety. The Internet of Things is giving us a lot more data. The challenge is how to manage

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Preview of Foresight (Winter 2019 issue)

This issue's preview is provided by Ralph Culver, Foresight's manuscript editor. Preview of Winter 2019 issue of Foresight The Winter 2019 issue of Foresight—number 52—kicks off with Simon Clarke’s enthusiastic review of The Little Illustrated) Book of Operational Forecasting by Dr. Steve Morlidge. Every year brings us new, inexperienced business-operations

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