Business Forecasting

Discover the role of machine learning and artificial intelligence in business forecasting from some of the brightest minds in the field

In Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo deliver relevant and timely insights from some of the most important and influential authors in the field of forecasting. You'll learn about the role played by machine learning and AI in the forecasting process and discover brand-new research, case studies, and thoughtful discussions covering an array of practical topics. The book offers multiple perspectives on issues like monitoring forecast performance, forecasting process, communication and accountability for forecasts, and the use of big data in forecasting.

You will find:

• Discussions on deep learning in forecasting, including current trends and challenges
• Explorations of neural network-based forecasting strategies
• A treatment of the future of artificial intelligence in business forecasting
• Analyses of forecasting methods, including modeling, selection, and monitoring

In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book also includes 16 'opinion/editorial' Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners, each providing their own unique vision of the issues, current state, and future direction of business forecasting.

Perfect for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners, Business Forecasting will also earn a place in the libraries of other executives and managers who seek a one-stop resource to help them critically assess and improve their own organization's forecasting efforts.

Michael Gilliland (Cary, NC) is Marketing Manager for SAS forecasting software, prior to which he held forecasting positions in the food, consumer electronics, and apparel industries. He is the author of several books and writes The Business Forecasting Deal blog (blogs.sas.com/content/forecasting), is Associate Editor of Foresight: The International Journal of Applied Forecasting, and in 2017 received the Lifetime Achievement Award from the Institute of Business Forecasting. He holds a BA in Philosophy from Michigan State University, and master's degrees in Philosophy and Mathematical Sciences from Johns Hopkins University.

Len Tashman (Golden, CO) is Director at the Center for Business Forecasting (CBF), which offers advice and assistance on forecast model building and customized workshops for companies and organizations worldwide. Tashman is Professor Emeritus, University of Vermont, teaching MBA courses in forecasting and decision making; is a member of the Board of Directors of the International Institute of Forecasters (IIF), the world's leading clearinghouse for the publication and dissemination of research on forecasting methods and practices; is a founding and continuing editor of Foresight: The International Journal of Applied Forecasting; and is an editor at Forecast Accuracy Measurement: Pitfalls to Avoid and Practices to Adopt.

Udo Sglavo (Raleigh, NC) is Director of Forecasting R&D at SAS, where he heads up a team of statisticians and midtier developers working on SAS's award-winning software for large-scale automatic forecasting. Prior to SAS, he spent more than five years providing and consuming advanced analytical content and solutions to enterprises ranging from Fortune 500 companies to Internet startups. He is a member of the practitioner advisory board of Foresight magazine (International Institute of Forecasters).