In the name of of Allah the Merciful

Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning

Michael Gilliland, Len Tashman, Udo Sglavo, Spyros G. Makridakis, Fotios Petropoulos | 1119782473, 978-1119782476, 9781119782476, B093TQHQBX

100,000 Toman
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English | 2021 | PDF

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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.