Applied Artificial Intelligence in Business: Concepts and Cases

This book provides an introduction to big data and artificial intelligence (AI) concepts and their applications in the business world, with application-oriented overviews and cases from various sectors and fields. It also includes teaching resources for professors.

Format: Hardback
Length: 368 pages
Publication date: 20 July 2022
Publisher: Springer International Publishing AG

This comprehensive book provides students with an in-depth exploration of the world of big data and artificial intelligence (AI), delving into their fundamental concepts, applications, and practical implications in the business realm. It addresses crucial inquiries such as what constitutes the core principles of AI and big data, and how these technologies are utilized in various industries to drive innovation and growth. Through a rich blend of application-oriented overviews and real-world case studies spanning diverse sectors and fields, the book aims to empower readers with a deep understanding of the potential of AI and big data to transform business operations and drive competitive advantage. Each chapter is accompanied by thought-provoking discussion questions and summaries, fostering active engagement and aiding in comprehension. Additionally, the book includes comprehensive supplementary materials, including answers to chapter questions and presentation slides, to support professors in effectively teaching these complex topics. Whether you are a student seeking to gain a foothold in the world of AI and big data or a professional looking to stay ahead of the curve, this book is an invaluable resource for anyone seeking to harness the power of these transformative technologies.

Big data and artificial intelligence (AI) have emerged as powerful tools that are transforming the way businesses operate and drive innovation. This comprehensive book provides students with an introduction to these concepts and their applications in the business world. It begins by exploring the main concepts of AI and big data, including their definition, characteristics, and potential benefits. The book then delves into the various applications of AI and big data analytics, such as data mining, machine learning, natural language processing, and predictive analytics.

Through a combination of theoretical explanations, real-world case studies, and practical examples, the book helps students understand how AI and big data can be used to solve complex business problems, improve decision-making processes, and enhance customer experiences. It also discusses the ethical and societal implications of these technologies, such as privacy concerns, job displacement, and the potential for bias.

To assist professors in teaching these topics, the book includes comprehensive supplementary materials, such as lecture notes, quizzes, and assignments. It also includes case studies and examples from various industries, allowing students to apply the concepts learned in the book to real-world situations.

Whether you are a student interested in pursuing a career in data science or business, or a professional looking to expand your knowledge of AI and big data, this book is an essential resource for anyone seeking to stay ahead of the curve in the rapidly evolving world of technology.

Weight: 740g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031057397
Edition number: 1st ed. 2022