In this research project, novel concepts and techniques for enterprise data management specifically tailored for agentic AI will be investigated and prototyped to assess their applicability and potential. The key question of this research project is “What are novel enterprise data management approaches for agentic AI?”
Continue reading →Attention students! LowCoding democratizes software development and enables non-technical people to develop innovative software solutions. A user-friendly frontend, visual interfaces and ready-made modules help with programming. Bosch uses the LowCoding platform “OutSystems” to accelerate software development. Take part in an exclusive event with Bosch, where you will get to know the functions and benefits of…
Continue reading →As the range of data platforms is rapidly evolving, the goal of this research project is to investigate and prototype upcoming architectures and technologies and to assess their applicability and potentials for industrial enterprises.
Continue reading →While there are many concepts, techniques and tools for metadata management, most focus on sub-aspects, e.g., metadata management with semantic technologies. There is no common understanding of what comprehensive metadata management in an enterprise entails and how it can be implemented. It is the goal of this project to design concepts and techniques for comprehensive metadata management across the entire enterprise data landscape.
Continue reading →Initiatives like Industry 4.0 generate large amounts of heterogeneous data that need to be stored and managed. It is not always clear what benefits this data will later bring to the company. As a result, it is usually not possible to decide at the time of data collection what value the data will have. To avoid losing any potentially important information, all data are stored in their raw format in an enterprise-wide data lake. The goal of this project was to define a framework for an implementable data lake architecture.
Continue reading →