AI-DPA Research Center

The AI-DPA Research College aims to improve and optimize processes across a wide range of industries through the use of artificial intelligence (AI). With a focus on Predictive Process Monitoring (PPM) and advanced data analysis methods, the project seeks to increase efficiency and effectiveness in various application areas.

Project Objectives:

• Cross-domain process analysis: Identification and analysis of key processes in different sectors to uncover optimization potential.
• Development of AI algorithms: Designing algorithms that extract valuable information from large volumes of unstructured data and prepare it for analysis.
• Improvement of data accessibility: Development of methods to optimize the accessibility and usability of data for various use cases.
• Process prediction and improvement: Creation of algorithms to analyze and predict process flows in order to support decision-making.

Methodology:

The project follows an iterative approach that begins with the analysis of synthetic data to develop and test algorithms. These algorithms are then applied to real-world data from the respective application areas. The results are used to continuously improve the algorithms until the desired quality and performance are achieved.

Application Areas:

• Media: Analysis of user behavior and optimization of content delivery systems.
• Accessibility: Creation and optimization of accessible indoor and outdoor spaces.
• Urban Development: Use of AI to improve urban infrastructure and services.
• Humanities: Technological innovations to support research and work processes in the humanities.

The project aims to contribute to digital transformation across various sectors and to lay the groundwork for well-informed, data-driven decisions. It offers insights into the developments and findings resulting from the advanced application of AI methods.