Business Analysis and Artificial Intelligence: Multi-dimensional Data-driven Intelligent Business Decision-Making and Panoramic Application

Course 14: Business Analysis and Artificial Intelligence: Multi-dimensional Data-driven Intelligent Business Decision-Making and Panoramic Application

I. Course Description

In the context of the overall acceleration of global digital transformation and data-driven decision-making gradually becoming the core of business, AI is not only a key driving force for the efficient operation, precision marketing and strategic optimization of enterprises, but also an important technology engine for shaping the future business landscape. It uses large-scale data processing capabilities to help enterprises more quickly understand market changes, more accurately predict consumer demand, and more flexibly develop innovative strategies to deal with complex environments, so as to maintain a long-term competitive advantage in an increasingly competitive market. This course focuses on the wide application of artificial intelligence in the modern business environment, deeply explores how AI technology promotes the innovation and change of enterprises, and analyzes the business scene implementation and application path, helping students understand its important role in shaping the future business ecology of artificial intelligence technology.

This course is a practice-oriented perspective from the basis of data science to business analysis applications, combining practical cases in supply chain management, marketing strategy, financial services, human resource management and other fields to clarify the core role of AI in improving efficiency, optimizing decision-making and innovating business models. In addition, the course will explore the cutting-edge integration of AI ethics and governance, blockchain and AI, providing students with a multi-dimensional thinking framework and technical insights. Through this course, students will understand the impact of AI in different business scenarios, master the application of AI technology in business decision-making, data analysis and process optimization, and use AI-driven innovation strategies to improve digital marketing, fintech, supply chain management and human resource management capabilities to lay a solid foundation for future career development.

II. Professor Introduction

Przemyslaw Jeziorski – Tenured professor at the University of California, Berkeley

Professor Przemyslaw Jeziorski is a tenured professor in marketing at the Haas School of Business, University of California, Berkeley. He also served as the Egon & Joan Von Kaschnitz Distinguished Professor of Business Administration. With over 15 years of research and teaching experience, he has earned a reputation in quantitative marketing, industry organization, and applied microeconomics.

Professor Przemyslaw Jeziorski has published important articles in several top academic journals, including Market Science, Management Science, and the RAND Journal of Economics. He has also received research support and fellowships from numerous organizations, such as the Bill & Melinda Gates Foundation. In addition, he served as associate editor of the international journal Management Science, Quantitative Marketing and Economics, and as a member of the editorial board of Marketing Science.

III. Syllabus

1. Principles of AI technology and modern business change
2. Practical application of data science and AI analysis tools
3. Marketing strategy ranging from predictive analysis to accurate decision-making
4. AI-enabled customer relationship management
5. Improve supply chain efficiency and minimize logistics cost
6. Intelligent risk control and financial service fraud detection
7. AI governance framework and policy formulation
8. Application of AI in human resource management
9. Emerging technology trends converge with the blockchain frontier
10. AI Strategy implementation guide and commercial landing path