Ubermetrics, the hub for research and development of the UNICEPTA Group, will contribute its competencies in the field of artificial intelligence to two new projects funded by the German Federal Ministry of Education and Research. The Berlin team of Ubermetrics Technologies will thus work in parallel on the news-polygraph and AI4SCM projects during the next 36 months.

Patrick Bunk, Managing Director of Ubermetrics Technologies, is pleased about the funding: "For us, research and practice go hand in hand. Our regular participation in research projects shows that UNICEPTA is actively shaping the future development of the media analytics market. It fills us with pride that in the context of these projects we not only benefit from interdisciplinary collaboration with our colleagues in research, but can also contribute our extensive experience in the application of AI language models in corporate applications."

Fake news and dissemination analysis in real time

Recent developments in the field of artificial intelligence make it increasingly easy to fake and forge content on the web. Deceiving others has been an integral part of the digital world - even since the creation of the Internet. However, applications that make use of artificial intelligence have not only reduced the effort required in the process of counterfeiting. Today, it is becoming increasingly difficult to distinguish the fakes produced from genuine contents.

It is not only in the corporate context that the importance of content verification is increasing. Especially in dissemination via established media, this discipline is becoming ever more relevant. For this reason, Rundfunk Berlin-Brandenburg and Deutsche Welle are active project partners in the development process of news-polygraph and are closely involved in the verification process.

In this project, UNICEPTA contributes to technological development, artificial intelligence-based content verification, and real-time analysis of the spread of misinformation.

Supply chain risks at a glance

Developments in increasingly interconnected global markets today require stable control systems to protect companies and consumers from bottlenecks. Companies have been obliged to keep a close eye on their supply chain not only since the Lieferkettensorgfaltspflichtgesetzes (in Germany) and the forthcoming EU Supply Chain Act came into force.

The AI4SCM project aims to strengthen supply chain trust and create the data foundation for ML-based SCM-related data products to enable automated, real-time identification of supply chain risks.