Helps students unlock the power of AI and Machine Learning to achieve business success and future-proof their careers

Artificial intelligence and machine learning are transforming the modern workplace, making AI literacy a critical skill for business professionals. Introduction to Artificial Intelligence and Machine Learning equips students with essential AI/ML knowledge and practical skills, enabling them to leverage cutting-edge technology in today's data-driven world.

With an engaging and accessible approach, this textbook ensures that students-regardless of technical background-gain a working knowledge of AI/ML systems. Concise, easy-to-digest chapters blend foundational concepts with real-world applications to help students develop the expertise needed to implement AI/ML solutions across industries.

For instructors, the textbook offers flexible teaching methodologies, whether focusing on conceptual discussions, light technology applications, or full AI/ML projects. With a clear business perspective and a strong emphasis on AI governance and deployment, the textbook prepares students to navigate the future of AI in the workplace with confidence.

Helping students build a solid foundation in key concepts while exploring strategic implementation and ethical considerations, Introduction to Artificial Intelligence and Machine Learning is ideal for undergraduate and graduate students in business, engineering, and healthcare programs taking courses such as Business Analytics, Information Systems, and AI Strategy.

WILEY ADVANTAGE

• Provides an introduction to artificial intelligence and machine learning designed to make complex concepts understandable
• Prepares students for AI-driven careers by aligning learning objectives with employer demand for AI/ML skills
• Explains AI/ML model development, deployment, and maintenance with clear step-by-step guidance
• Integrates real-world business applications and case studies to demonstrate AI/ML's impact across industries
• Discusses governance in AI/ML to facilitate responsible implementation and decision-making
• Includes practical coding exercises and in-class projects to build essential AI/ML skills for the workforce
• Features a robust suite of instructor resources, including an extensive Instructor's Manual, Test Bank, and PowerPoint slides

AN INTERACTIVE, MULTIMEDIA LEARNING EXPERIENCE

This textbook includes access to an interactive, multimedia e-text. Icons throughout the print book signal corresponding digital content in the e-text.

Video Clips created by the author complement the text and engage students more deeply with AI/ML concepts and applications.

Interactive Questions appear in each chapter of the enhanced e-text, providing students with immediate feedback to strengthen learning.

About the Author

R. Kelly Rainer is the George Phillips Privet Professor in the Department of Business Analytics and Information Systems at Auburn University. He has published in leading journals such as MIS Quarterly, Journal of Management Information Systems, and Decision Sciences. A recognized expert in information systems and business analytics, Rainer is a member of the Decision Sciences Institute and the Association for Information Systems.

Book Information
ISBN 9781394344710
Author R. Kelly Rainer
Format Paperback
Page Count 336
Imprint John Wiley & Sons Inc
Publisher John Wiley & Sons Inc