Generative AI for Data Insights on SAP BTP

Introduction

In this course, we will learn about the benefits of cloud computing and Generative AI and provide topics for practical development. As an example of how to run such software, in this course, we use the Business Technology Platform (BTP) for deployment and SAP Cloud Application Programming Model (CAP, https://cap.cloud.sap/docs/). The course is offered by SAP.

Generative AI is a branch of artificial intelligence focused on creating new data or content that resembles something it has been trained on. Unlike traditional AI systems that are designed for specific tasks, generative AI models learn patterns from a dataset and then generate new content based on those patterns. This content can take various forms, such as images, text, music, videos or even data analysis.

The terms cloud and cloud computing have been around for years. In simple terms, a cloud describes a network of systems that are operated elsewhere. Usually, a cloud is used to store data, whereby the structure and basic functionality of the underlying systems do not play a role. Cloud computing describes the use of the cloud infrastructure for storage and computing power to perform complex tasks such as building and using Generative AI models.

Contact

The course is offered by the Institute for Information Systems (IWi) in cooperation with SAP.
IWi: Peter Pfeiffer
SAP: Dr. Christian Lander

Subjects

We will form 3 groups with max 4 students working on the same topic. The objective of each topic is to design and implement an analytics dashboard to be developed using the given data sets and the Generative AI PlugIn provided on the SAP Business Technology platform.

Important Dates

TBA! We plan to start on April 25th, 2025. 

For reference, the dates of last year are reported.

Basically, all dates take place on Fridays from 2 to 4 pm. To pass the seminar, attendance at all sessions is mandatory. Furthermore, a proposed onboarding guide has to be worked through successfully during the first 3 weeks to be admitted for the project. Also, during the group working phases, there will be a regular Q&A on the same Friday time slot, which the students have to attend.

Application

Due to the limited number of participants, you must apply for a place in this seminar. Selection will be based on your previous academic performance and other knowledge. Partizipation requirements include:

• Master's degree program in the Department of Business and Economics, in particular Business Information Systems and Digital Business Administration or Informatics
• Basic programming knowledge in Java and/or NodeJS

If you are interested, please send your application with your contact information, an excerpt of your previous academic achievements and a short note on another relevant knowledge to TBA. Application phase starts TBA.