Forecasting with Artificial Intelligence Forecasting with Artificial Intelligence
Palgrave Advances in the Economics of Innovation and Technology

Forecasting with Artificial Intelligence

Theory and Applications

Mohsen Hamoudia and Others
    • 129,99 €
    • 129,99 €

Publisher Description

This book is a comprehensive guide that explores the intersection of artificial intelligence and forecasting, providing the latest insights and trends in this rapidly evolving field.
The book contains fourteen chapters covering a wide range of topics, including the concept of AI, its impact on economic decision-making, traditional and machine learning-based forecasting methods, challenges in demand forecasting, global forecasting models, meta-learning and feature-based forecasting, ensembling, deep learning, scalability in industrial and optimization applications, and forecasting performance evaluation. With key illustrations, state-of-the-art implementations, best practices, and notable advances, this book offers practical insights into the theory and practice of AI-based forecasting. This book is a valuable resource for anyone involved in forecasting, including forecasters, statisticians, data scientists, business analysts, or decision-makers.

Mohsen Hamoudia is CEO since 2020 of PREDICONSULT (Data and Predictive Analytics), Paris. He is a consultant to several consulting companies in Europe and the US. His research is primarily focused on economics and empirical aspects of forecasting in air transportation, telecommunications, IT (Information and Technologies), social networking, and innovation and new technologies

Spyros Makridakis is a Professor at the University of Nicosia and the founder of the Makridakis Open Forecasting Center (MOFC). He is also an Emeritus Professor at INSEAD, he joined in 1970. He has authored/co-authored, 27 books/special and more than 360 articles. He was the founding editor-in-chief of the Journal of Forecasting and the International Journal of Forecasting and is the organizer of the renowned M (Makridakis) competitions.

Evangelos Spiliotis is a Research Fellow at the Forecasting & Strategy Unit, National Technical University of Athens. His research focuses on time series forecasting with machine learning, while his work on tools for management support. He has co-organized the M4, M5, and M6 forecasting competitions.

GENRE
Business & Personal Finance
RELEASED
2023
20 September
LANGUAGE
EN
English
LENGTH
456
Pages
PUBLISHER
Springer Nature Switzerland
SIZE
16.9
MB

More Books by Mohsen Hamoudia, Spyros Makridakis & Evangelos Spiliotis

Other Books in This Series

Untapped Knowledge in India’s E-Waste Industry Untapped Knowledge in India’s E-Waste Industry
2024
Science and Technology Parks and Regional Economic Development Science and Technology Parks and Regional Economic Development
2019
Big Data Analytics in U.S. Courts Big Data Analytics in U.S. Courts
2019
The Collaborative Era in Science The Collaborative Era in Science
2018
Technology-Based Nascent Entrepreneurship Technology-Based Nascent Entrepreneurship
2017
How Digital Communication Technology Shapes Markets How Digital Communication Technology Shapes Markets
2016