Business forecasting the emerging role of artificial intelligence and machine learning / edited by Michael Gilliland, Len Tashman, and Udo Sglavo.

Format Electronic
Publication InfoHoboken, New Jersey : Wiley, 2021.
Descriptionpages cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Other author/creatorGilliland, Michael.
Other author/creatorTashman, Len, 1942-
Other author/creatorSglavo, Udo, 1968-
Other author/creatorJohn Wiley & Sons.
Abstract "Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar, but more general term This book provides ideas from the most important and influential authors in the field of forecasting on an array of topics that are highly relevant. It provides multiple perspectives on relevant issues like monitoring forecast performance, forecasting process, communication and accountability for the forecast, the use of big data in forecasting, and the role of AI/ML in enhancing traditional time series forecasting methods. Note: Content is mostly material previously published in "practitioner" journals (Foresight and Journal of Business Forecasting), with a few articles from the academic International Journal of Forecasting. Some articles report on academic research, or include case studies, but most are thoughtful discussion of important business forecasting topics, such as the role of the sales force in forecasting, or the value of judgmental overrides to a statistical forecast, or how to determine what forecast error is "avoidable." Articles were chosen for their importance, influence, informativeness, and for being provocative -- leading the reader to new considerations and ideas"-- Provided by publisher.
General noteIncludes index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2021002141
ISBN9781119782476 (hardback)
ISBN(adobe pdf)
ISBN(epub)

Availability

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Electronic Resources ✔ Available