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 insightsinto 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.

Highlights common pain points of businesses and demonstrates how AI can be used to alleviate them Presents various AI applications across core business functions Provides beginner-friendly code examples in Python for readers to develop their own AI solutions

Autorentext
Dr. Teik Toe Teoh is an academic director and senior lecturer at Nanyang Business School, NTU. He has over 25 years of experience as a highly experienced researcher in big data, deep learning, cybersecurity, artificial intelligence, machine learning, and software development. His works have been published in more than 50 journals, conferences, books, and book chapters, including the textbook "Artificial Intelligence with Python," published with Springer in 2022. Dr. Teoh holds a PhD in Computer Engineering from NTU; a Doctor of Business Administration from the University of Newcastle; and a Master of Law from NUS, LLB, and LLM from UoL, as well as certifications in CFA, ACCA, and CIMA. He has more than 15 years of experience in data mining, quantitative analysis, data statistic, finance, accounting, and law and is high passionate about the synergy between business and technology.

Goh Yu Jin is an artificial intelligence engineer with 4 years of professional experience and 1.5 years of teaching experience in artificial intelligence. He holds a bachelor's degree in Information Systems Technology and Design, specializing in artificial intelligence. He has coauthored two conference publications on the subject and is passionate about applying AI to a wide variety of use cases and making complex concepts easy to understand for everyone.

Inhalt

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.