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.
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,
In this guest blogger post, Chris Gray of Gray Research weighs in on the discussion of forecasting vs. budgeting. Chris Gray on Forecasting vs. Budgeting Generally I agree with Steve Morlidge’s points about the differences between forecasts (or sales plans) and budgets, and the fact that they are unlikely to
Chris Gray of Gray Research is a longtime contributor to the practice of Sales and Operations Planning. He is author of several books on S&OP, software selection, and other supply chain related areas, including Sales and Operations Planning Standard System (2007). In 2006 he co-authored Sales & Operations Planning –
