Handbook of Research on Economic and Social Impacts of Population Aging

Data has become the new global currency, and applied data science research is necessary to derive useful information from big data. This book provides an overview of the concepts, tools, and techniques behind data science and artificial intelligence (AI) applied to business and industries, covering topics such as applied AI, consumer behavior analytics, and machine learning. It is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academics, and students.

Format: Hardback
Length: 400 pages
Publication date: 25 June 2021
Publisher: IGI Global

The modern world thrives on the data generated at an unprecedented pace through social networks and the Internet of Things (IoT). Data has been hailed as the new global currency, and its ascendancy is reshaping entire industries, presenting a multitude of opportunities. Applied data science research is crucial to extracting valuable insights from vast datasets for effective and efficient utilization in solving real-world problems. A comprehensive analytical framework coupled with robust business logic is fundamental in today's corporations. Organizations strive to gain a competitive edge by analyzing data generated within and beyond their boundaries to support their decision-making processes. This book serves as a comprehensive guide to the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries.

The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry delves into all stages of data science to AI and their application to real-world problems across industries, ranging from science and engineering to academia and commerce. This book brings together practice and science to create successful data solutions, demonstrating how to uncover hidden patterns and leverage them to enhance all aspects of business performance by making sense of data from both web and offline environments. Covering topics such as applied AI, consumer behavior analytics, and machine learning, this text is indispensable for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academics, and students.

Weight: 1242g
Dimension: 224 x 290 x 30 (mm)
ISBN-13: 9781799873273