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Artificial intelligence in business ...

Teoh, Teik Toe.

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Artificial intelligence in business management

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence in business management/ by Teik Toe Teoh, Yu Jin Goh.
作者:	Teoh, Teik Toe.
其他作者:	Goh, Yu Jin.
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xiii, 383 p. :illustrations, digital ;24 cm.
內容註:	Part I: Artificial Intelligence Algorithms -- Chapter 1. Introduction to Artificial Intelligence -- Chapter 2. Regression -- Chapter 3. Classification -- Chapter 4. Clustering -- Chapter 5. Time Series -- Chapter 6. Convolutional Neural Networks -- Chapter 7. Text Mining -- Chapter 8. Chatbot, Speech and NLP -- Part II: Applications of Artificial Intelligence in Business Management -- Chapter 9. AI in Human Resource Management -- Chapter 10. AI in Sales -- Chapter 11. AI in Marketing -- Chapter 12. AI in Supply Chain Management -- Chapter 13. AI in Operations Management -- Chapter 14. AI in Corporate Finance -- Chapter 15. AI in Business Law -- Chapter 16. AI in Business Strategy -- References -- Index.
Contained By:	Springer Nature eBook
標題:	Industrial management - Technological innovations. -
電子資源:	https://doi.org/10.1007/978-981-99-4558-0
ISBN:	9789819945580

Artificial intelligence in business management
Teoh, Teik Toe.

Artificial intelligence in business management[electronic resource] /by Teik Toe Teoh, Yu Jin Goh. - Singapore :Springer Nature Singapore :2023. - xiii, 383 p. :illustrations, digital ;24 cm. - Machine learning : foundations, methodologies, and applications,2730-9916. - Machine learning : foundations, methodologies, and applications..

Part I: Artificial Intelligence Algorithms -- Chapter 1. Introduction to Artificial Intelligence -- Chapter 2. Regression -- Chapter 3. Classification -- Chapter 4. Clustering -- Chapter 5. Time Series -- Chapter 6. Convolutional Neural Networks -- Chapter 7. Text Mining -- Chapter 8. Chatbot, Speech and NLP -- Part II: Applications of Artificial Intelligence in Business Management -- Chapter 9. AI in Human Resource Management -- Chapter 10. AI in Sales -- Chapter 11. AI in Marketing -- Chapter 12. AI in Supply Chain Management -- Chapter 13. AI in Operations Management -- Chapter 14. AI in Corporate Finance -- Chapter 15. AI in Business Law -- Chapter 16. AI in Business Strategy -- References -- Index.

Artificial intelligence (AI) is rapidly gaining significance in the business world. With more and more organizations adopt AI technologies, there is a growing demand for business leaders, managers, and practitioners who can harness AI's potential to improve operations, increase efficiency, and drive innovation. This book aims to help management professionals exploit the predictive powers of AI and demonstrate to AI practitioners how to apply their expertise in fundamental business operations. It showcases how AI technology innovations can enhance various aspects of business management, such as business strategy, finance, and marketing. Readers interested in AI for business management will find several topics of particular interest, including how AI can improve decision-making in business strategy, streamline operational processes, and enhance customer satisfaction. As AI becomes an increasingly important tool in the business world, this book offers valuable insights into how it can be applied to various industries and business settings. Through this book, readers will gain a better understanding of how AI can be applied to improve business management practices and practical guidance on how to implement AI projects in a business context. This book also provides practical guides on how to implement AI projects in a business context using Python programming. By reading this book, readers will be better equipped to make informed decisions about how to leverage AI for business success.

ISBN: 9789819945580

Standard No.: 10.1007/978-981-99-4558-0doiSubjects--Topical Terms:

895585
Industrial management
--Technological innovations.

LC Class. No.: HD45 / .T46 2023

Dewey Class. No.: 658.0028563

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520 $a Artificial intelligence (AI) is rapidly gaining significance in the business world. With more and more organizations adopt AI technologies, there is a growing demand for business leaders, managers, and practitioners who can harness AI's potential to improve operations, increase efficiency, and drive innovation. This book aims to help management professionals exploit the predictive powers of AI and demonstrate to AI practitioners how to apply their expertise in fundamental business operations. It showcases how AI technology innovations can enhance various aspects of business management, such as business strategy, finance, and marketing. Readers interested in AI for business management will find several topics of particular interest, including how AI can improve decision-making in business strategy, streamline operational processes, and enhance customer satisfaction. As AI becomes an increasingly important tool in the business world, this book offers valuable insights into how it can be applied to various industries and business settings. Through this book, readers will gain a better understanding of how AI can be applied to improve business management practices and practical guidance on how to implement AI projects in a business context. This book also provides practical guides on how to implement AI projects in a business context using Python programming. By reading this book, readers will be better equipped to make informed decisions about how to leverage AI for business success.
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