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

The book "Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning" provides insights from experts on the role of AI and ML in business forecasting, including monitoring performance, process, communication, and big data. It discusses deep learning, neural network-based strategies, and the future of AI in forecasting. The book is a valuable resource for financial controllers, CFOs, business analysts, forecast analysts, and demand planners, and will help them improve their organization's forecasting efforts.

Format: Hardback
Length: 432 pages
Publication date: 24 June 2021
Publisher: John Wiley & Sons Inc

In the realm of business forecasting, the emerging role of artificial intelligence (AI) and machine learning (ML) has garnered significant attention from esteemed experts across the field. Accomplished authors Michael Gilliland, Len Tashman, and Udo Sglavo have compiled a comprehensive and insightful book titled "Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning." This invaluable resource offers readers a deep dive into the world of forecasting, providing relevant and timely insights from some of the most influential authors in the field.

Within the pages of this book, readers will explore the intricate relationship between AI and ML and their pivotal role in the forecasting process. The authors shed light on the latest research, case studies, and thoughtful discussions covering a wide range of practical topics related to forecasting. From monitoring forecast performance to forecasting process, communication, and accountability for forecasts, and the utilization of big data in forecasting, the book offers multiple perspectives on these critical aspects.

One of the key highlights of "Business Forecasting" is its comprehensive coverage of deep learning in forecasting. The authors delve into current trends and challenges associated with this cutting-edge technology, providing valuable insights for practitioners seeking to leverage its potential. They explore neural network-based forecasting strategies, discussing their advantages and limitations. Additionally, the book delves into the future of AI in business forecasting, examining the potential applications and implications of this rapidly evolving field.

The authors also provide an in-depth analysis of forecasting methods, encompassing modeling, selection, and monitoring. They discuss various modeling techniques, such as time series analysis, regression analysis, and machine learning algorithms, and their applications in different industries. Furthermore, the book offers practical guidance on how organizations can effectively implement forecasting strategies, leveraging the power of AI and ML to improve their decision-making processes.

In addition to the Foreword by renowned researchers Spyros Makridakis and Fotios Petropoulos, the book features 16 opinion/editorial Afterwords by a diverse range of top academics, consultants, vendors, and industry practitioners. Each Afterword offers a unique perspective on the issues, current state, and future direction of business forecasting, providing valuable insights for executives and managers seeking to enhance their forecasting capabilities.

"Business Forecasting" is a valuable resource for financial controllers, chief financial officers, business analysts, forecast analysts, and demand planners. It serves as a comprehensive one-stop resource that empowers readers to critically assess and improve their own organizations' forecasting practices. With its extensive coverage of AI and ML, practical insights, and expert perspectives, this book is a must-read for anyone interested in advancing their forecasting skills and staying ahead of the curve in today's competitive business landscape.

Weight: 854g
Dimension: 190 x 262 x 38 (mm)
ISBN-13: 9781119782476