Transforming business management with AI, BI, and data-driven desicion-making /

In today's rapidly evolving business landscape, the convergence of technology and finance is inevitable. This book discusses how artificial intelligence (AI), business intelligence (BI), and datadriven decisionmaking are transforming traditional business management practices and leading to unpa...

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Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Gupta, Swati (Editor), Taneja, Sanjay (Editor), Davim, J. Paulo (Editor)
Format:	eBook
Language:	English
Published:	Boca Raton, FL : CRC Press, 2026.
Series:	Manufacturing design and technology series.
Subjects:	Management > Statistical methods. Decision making > Statistical methods. Artificial intelligence > Business applications. Business intelligence. Gestion > Méthodes statistiques. Prise de décision > Méthodes statistiques. Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	In today's rapidly evolving business landscape, the convergence of technology and finance is inevitable. This book discusses how artificial intelligence (AI), business intelligence (BI), and datadriven decisionmaking are transforming traditional business management practices and leading to unparalleled innovation and efficiency.Transforming Business Management with AI, BI, and DataDriven Decision-Making presents readers with valuable insights into how these fields connect. By covering practical uses and case studies that illustrate realworld applications of AI and BI as decisionmaking tools, this book makes complex theories more accessible and understandable. Readers will also find practical tips on leveraging AI and BI to enhance operational workflows, customer communication, and competitive positioning in today's dynamic business landscape. Practical implementation steps and a framework for successfully applying AI and BI technologies are included, addressing common challenges organizations may face. Additionally, strategies for achieving datadriven decisionmaking at the highest level are also offered.By bridging the gap between theoretical concepts and practical data analysis issues, this book serves as a valuable resource for professionals in the business environment, industrial and manufacturing engineering, business analytics, and related fields.
Physical Description:	1 online resource
Bibliography:	Includes bibliographical references and index.
ISBN:	9781040435854 1040435858 9781003564621 1003564623 9781040435830 1040435831