Business Analytics and Artificial Intelligence

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A01=Joseph H. Zhang
A01=Nick J. Rezaee
A01=Salem Lotfi Boumediene
A01=Zabihollah Rezaee
AI solutions
AI techniques
Artificial Intelligence
Author_Joseph H. Zhang
Author_Nick J. Rezaee
Author_Salem Lotfi Boumediene
Author_Zabihollah Rezaee
AutoML
Business Analytics
Business Ethics
Category=GPS
Category=KJC
Category=KJU
Category=UYQ
Computer Science
data analytics
Data Science
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
forthcoming
Generative AI
Generative AI Frameworks
Machine Learning
Python
R
Statistics

Product details

  • ISBN 9781041124023
  • Dimensions: 174 x 246mm
  • Publication Date: 02 Oct 2026
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Business Analytics and Artificial Intelligence provides an in-depth exploration of the intersection of business analytics, machine learning, and artificial intelligence (AI). Tailored for undergraduate, graduate, and professional learners, it equips readers with the knowledge and skills to leverage data-driven insights and AI technologies for strategic decision-making, operational optimization, and innovation in a dynamic global business environment. This book bridges the gap between theory and practice by:

- Introducing the foundational principles of business analytics and AI

- Demonstrating the integration of advanced AI techniques into business analytics processes

- Providing a unified guide to business analytics and machine learning with a focus on real-world applications

- Presenting a clear, practical, and accessible framework to harness AI and machine learning for solving complex business problems, optimizing operations, and driving innovation

- Exploring the ethical, legal, and social implications of AI in business contexts

- Presenting case studies and real-world applications from diverse industries to showcase best practices.

The textbook combines foundational concepts, advanced techniques, and hands-on applications, catering to readers with varying levels of technical expertise. It includes global perspectives of BA and AI, case studies, practical examples, and coding snippets (in Python or R) to help readers implement AI-driven solutions in their organizations. Topics span predictive analytics, machine learning, data visualization, natural language processing, and decision support systems, emphasizing how these tools empower businesses to stay competitive and ensure operational sustainability.

Zabihollah Rezaee is the Thompson-Hill Chair of Excellence and Professor of Accountancy at the University of Memphis and has served a two-year term on the Standing Advisory Group of the Public Company Accounting Oversight Board (PCAOB).

Joseph H. Zhang is the Department Chair and the Robert W. and Patricia A. Maurer Family Distinguished Endowed Professor in the Department of Accounting and Management Information Systems at Bowling Green State University (BGSU) in Ohio, USA.

Salem Lotfi Boumediene is an Associate Professor at the University of Illinois Springfield (UIS) in the College of Business and Management.

Nick J. Rezaee is a graduate student in the Computational Biology and Quantitative Genetics program and programmer at the Harvard T.H Chen School of Public Health

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