Cantitate/Preț
Produs

Applied Artificial Intelligence in Business: Concepts and Cases: Applied Innovation and Technology Management

Autor Leong Chan, Liliya Hogaboam, Renzhi Cao
en Limba Engleză Paperback – 21 iul 2023

This book offers students an introduction to the concepts of big data and artificial intelligence (AI) and their applications in the business world. It answers questions such as what are the main concepts of artificial intelligence and big data? What applications for artificial intelligence and big data analytics are used in the business field? It offers application-oriented overviews and cases from different sectors and fields to help readers discover and gain useful insights. Each chapter features discussion questions and summaries. To assist professors in teaching, the book supplementary materials will include answers to questions, and presentation slides.

Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 52297 lei  6-8 săpt.
  Springer International Publishing – 21 iul 2023 52297 lei  6-8 săpt.
Hardback (1) 59529 lei  17-24 zile +5208 lei  6-12 zile
  Springer International Publishing – 20 iul 2022 59529 lei  17-24 zile +5208 lei  6-12 zile

Din seria Applied Innovation and Technology Management

Preț: 52297 lei

Preț vechi: 61526 lei
-15% Nou

Puncte Express: 784

Preț estimativ în valută:
10013 10427$ 8308£

Carte tipărită la comandă

Livrare economică 14-28 februarie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031057427
ISBN-10: 3031057422
Pagini: 368
Ilustrații: XVI, 368 p. 44 illus., 41 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.54 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Applied Innovation and Technology Management

Locul publicării:Cham, Switzerland

Cuprins

1. Artificial Intelligence for Business.- 2. Big Data Powering Business Intelligence.- 3. Artificial Intelligence Technologies for Business Applications.- 4. Machine Learning for Business Applications.- 5. Artificial Intelligence in Marketing and Sales.- 6. Artificial intelligence for Customer Services.- 7. Artificial intelligence in Finance.- 8. Artificial intelligence in Accounting and Auditing.- 9. Artificial intelligence in Human Resources.- 10. Artificial intelligence in Supply Chain and Logistics.- 11. Artificial intelligence in Manufacturing.- 12. Artificial Intelligence in Insurance.- 13. Artificial Intelligence in Credit, Lending, and Mortgage.- 14. Artificial Intelligence in Tourism and Hospitality.- 15. Artificial Intelligence in Transportation.- 16. Artificial Intelligence in Real Estate.- 17. Artificial Intelligence in Education.- 18. Artificial Intelligence in Healthcare.- 19. Artificial Intelligence in Energy.- 20. Artificial Intelligence in Media Services.- 21. Artificial Intelligence in Fashion.- 22. Artificial Intelligence in Gaming and eSports.- 23. Artificial Intelligence in Sports.


Notă biografică

Leong Chan is an Assistant Professor in the School of Business at Pacific Lutheran University (Washington, USA). His research focuses on the application of emerging technologies in various business sectors. He is an Associate Editor of the Engineering Management Journal and serves as editorial board member for several journals and conferences.
Liliya Hogaboam is an author, consultant and a lecturer in the fields of economics and management, healthcare assessment, decision-making and AI. She has over 20 years of experience in analytics and research. She also has 10 years of entrepreneurial experience running a software services consulting company Nascentia Corp (Oregon, USA). Liliya has a number of publications in peer-reviewed journals. She co-authored the book Healthcare Technology Innovation Adoption (Springer, 2016).
Renzhi Cao is an Assistant Professor at Pacific Lutheran University (Washington, USA). His research interest is mainly focused on developing and applying machine learning and data mining techniques to solve biomedical problems. In addition, he is interested in promoting early engagement of undergraduate students (especially for women and underrepresented students) in machine learning, and the data science field by interdisciplinary studies, and inspiring students to pursue advanced STEM education/research careers.
 


Textul de pe ultima copertă

This book offers students an introduction to the concepts of big data and artificial intelligence (AI) and their applications in the business world. It answers questions such as what are the main concepts of artificial intelligence and big data? What applications for artificial intelligence and big data analytics are used in the business field? It offers application-oriented overviews and cases from different sectors and fields to help readers discover and gain useful insights. Each chapter features discussion questions and summaries. To assist professors in teaching, the book supplementary materials will include answers to questions, and presentation slides.


Caracteristici

Features discussion questions, quizzes, lecture notes, slides, and real world case examples
Presents innovative AI concepts and applications in business
Accessible for people with a technical background but limited business knowledge