Teacher: Prof. Yash Raj Shrestha
Teaching Assistant: Yuanjun Feng & Henri Jamet & Ruyin Feng
Bachelor (3rd year) 4h/week – 6 ECTS
Autumn Semester Thursdays 14:15 to 18:00
For further information, please look at the course moodle.
Objectives
By synthesizing robust patterns from large data sets, Artificial Intelligence (AI)—particularly machine learning algorithms—enables the creation of new information and predictions from data. The promise of fast, accurate, and low-cost decisions with quality approaching human-like intelligence has been an important driver of the rapid developments in AI. Indeed, AI has found application in various processes within business organizations—including marketing (e.g., customer journey prediction), human resource management (e.g., hiring decisions), finance (e.g., credit risk predictions), etc. While the rapid adoption of AI attests to the many measurable benefits of AI’s learning and prediction power, its application in business needs to be based on an adequate understanding of its strengths and weaknesses.
The overall objective of this course is to develop students’ understanding of the applications of AI within business functions such as business model development, marketing, supply chain, finance, and human resources. We will examine this intersection in various industries, including BigTech, Automobiles, Media, and Software. We will also critically examine various challenges facing AI applications in business and potential solutions for resolving them. At the end of the course, students should be able to:
- Critically examine the benefits and risks of AI in business
- Identify opportunities within business processes for applying AI applications and developing such applications.
- Identify problems in AI adoption, propose a feasible solution to resolving them, and structure and explain its reasoning.