Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning (Wiley and SAS Business Series) - Tapa dura

Acerca del autor

MICHAEL GILLILAND is Marketing Manager for SAS forecasting software and Associate Editor of Foresight: The International Journal of Applied Forecasting. He is author of The Business Forecasting Deal.

LEN TASHMAN is the founding editor of Foresight: The International Journal of Applied Forecasting. He is emeritus professor of business administration at the University of Vermont and Director of the Center for Business Forecasting.

UDO SGLAVO is Vice President of Analytics R&D at SAS and holds several patents in the area of advanced analytics. His writings have appeared in Analytics magazine and the book Big Data and Business Analytics.

De la contraportada

Over the last six decades, business forecasting has demonstrated a remarkable ability to keep executives and managers informed of likely trends in a huge variety of industries and businesses around the world. And while most forecasters didn’t see the unfolding COVID-19 pandemic or its effects coming, more typical and mundane scenarios provide plenty of opportunity for forecasters to show their talent.

Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning delivers a curated collection of insightful papers designed to shed light on the growing role of artificial intelligence (AI) and machine learning (ML) in the crucial field of business forecasting. The book discusses new and varied techniques and technologies, like cross learning, big data, judgmental model selection, and error analysis, to provide an illuminating view of the rapidly evolving world of forecasting.

The resources included contain academic research, case studies, and thoughtful discussions of important business forecasting topics. The articles are influential, informative, and provocative, eliciting new considerations and ideas, as well as practical insights and strategies.

Readers will also enjoy a collection of original “Afterwords” from recognized forecasting thought leaders in academics, industry, and consulting. These Afterwords—written specifically for this book—cover a variety of topics relating to the issues, current state, and future direction of business forecasting.

Perfect for financial controllers, chief financial officers, business analysts, and forecast analysts and managers, Business Forecasting is also an invaluable resource for demand planners and other professionals whose job relies on predicting future states of variables. It will also be of interest to machine learning and artificial intelligence professionals who seek a one-stop and up-to-date resource on the application of those technologies to business and finance.

De la solapa interior

Over the last six decades, business forecasting has demonstrated a remarkable ability to keep executives and managers informed of likely trends in a huge variety of industries and businesses around the world. And while most forecasters didn't see the unfolding COVID-19 pandemic or its effects coming, more typical and mundane scenarios provide plenty of opportunity for forecasters to show their talent.

Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning delivers a curated collection of insightful papers designed to shed light on the growing role of artificial intelligence (AI) and machine learning (ML) in the crucial field of business forecasting. The book discusses new and varied techniques and technologies, like cross learning, big data, judgmental model selection, and error analysis, to provide an illuminating view of the rapidly evolving world of forecasting.

The resources included contain academic research, case studies, and thoughtful discussions of important business forecasting topics. The articles are influential, informative, and provocative, eliciting new considerations and ideas, as well as practical insights and strategies.

Readers will also enjoy a collection of original "Afterwords" from recognized forecasting thought leaders in academics, industry, and consulting. These Afterwords--written specifically for this book--cover a variety of topics relating to the issues, current state, and future direction of business forecasting.

Perfect for financial controllers, chief financial officers, business analysts, and forecast analysts and managers, Business Forecasting is also an invaluable resource for demand planners and other professionals whose job relies on predicting future states of variables. It will also be of interest to machine learning and artificial intelligence professionals who seek a one-stop and up-to-date resource on the application of those technologies to business and finance.