The course consists of two parts, the introductory and the analysis part.

The introductory segment of the course offers an overview of AI as a transformative force reshaping multiple industries. Participants explore the AI value chain—integrating software, talent, compute, and data—to understand how AI’s process and product innovations affect return on investment. Further, this part emphasizes the critical role of data in AI success, examining Big Data, data infrastructure. Students gain practical insights through interactive data tasks, highlighting how data-driven decisions can improve speed, scale, and minimize bias. Finallz, participants delve into advanced topics, covering foundational AI subfields and their applications across diverse business contexts. 

In the analysis part, students will work in teams to conduct hands-on analyses on environmental sustainability challenges of platforms. Specifically, teams will work on the following topics to identify key aspects and potential solutions for a challenge:

•    carbon emission (certificates) of platforms
•    platform impact on biodiversity
•    energy usage of platforms
•    regeneration driven by platforms
•    responsible supply chains of platforms
•    sustainability initiatives and platforms

COURSE ORGANIZATION & MANDATORY SUBMISSIONS BEFORE COURSE START: Teams will be compiled by the instructor based on student competencies and interests. To that end, each student who is registered to this course has to 1) submit her/its/his CV (no formal requirements) as PDF file via e-mail to the lecturer Patrick Holzmann and 2) fill out a form (E-Mail to registered students follows). Teams will be announced in the first session.

• Understanding of AI in Business

• Insights into Data-Driven Decision Making

• Critical Analysis of Sustainability Challenges faced by Platforms

Students are allowed to miss up to 20% of the first three sessions. Please be aware that group work will take place during these sessions, and it will be part of your grade

28.4: Mandatory attendance everyone 100% of time
3.6, 13.5, 6.5: Mandatory attendance for at 2/3 of a team  - teams have to take care that information is circulated within the overall team
13.6: Mandatory attendance everyone 100% of time

Lectures, Business Cases, Videos, Group Project.

There are 3 assessment elements:

40% Group-Individual work during the first three sessions. Specific details will be provided in the first session.

50% Platform sustainability analysis (Group Assessment)

10% Final presentation of platform sustainability analysis (Group Assessment)

Each element is graded from 1 (excellent) to 5 (insufficient). Each element needs to be at least graded with 4 (sufficient) to pass the course

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