Data Science Projects

The goal of the PLASS project is the development of a prototypical B2B platform for AI-based decision support for supply chain management. The focus is on the automatic recognition of decision-relevant information and the acquisition of structured knowledge from global and multilingual text sources. These sources provide a large database of SCM information, particularly for the early detection of critical events and risks, but also of opportunities, e.g. through new technologies, suppliers and supply chains. PLASS enables SMBs and large enterprises to continuously monitor suppliers and supply chains, and supports supply chain managers in risk assessment and decision making. One approach is the integration of knowledge graphs, another approach is through feedback channels to continually improve and adapt the AI ​​models.

Partners: DFKI Berlin, Siemens, ubermetrics, Uni Leipzig, Beuth-Hochschule. Funding within the programe "Smart Data Economy", BMWi.

Servicemeister (BMWi 2020 2022)

ServiceMeister.org is an artificial intelligence (AI) based cross-company service platform for the german industry. An important goal is to empower service professionals with complex AI-tools  and to strengthen the business model of machine-as-a-service, using digital guides such as AI-based ServiceBots and Smart Services. In addition, service should be scalable across companies. This creates a service ecosystem that counteracts the shortage of skilled workers in Germany and makes SMEs in the long term competitive.

Partner:

• eco Verband der Internetwirtschaft e.V.
• USU Software AG
• Karlsruher Service Research Institute (KSRI)
• Beuth-HS Berlin
• Institut für Internet-Sicherheit 
• Institute for Web Science and Technologies (WeST)
• Fraunhofer-Institut für Software- und Systemtechnik ISST
• Kompetenznetzwerk Trusted Cloud e. V.
• inovex GmbH
• Krohne Messtechnik GmbH
• OpenGrid Europe
• KEB
• Würth
• GrandCentrix
• Trumph
• AtlasCopco