Data-driven technologies such as artificial intelligence or chatbots are changing the business world. Industry espionage often takes place when exchanged production data are analyzed by competitors. Many companies aren’t aware of the knowledge that’s actually contained in the data sets they automatically share with suppliers and customers. Stefan Thalmann and his team identify security gaps and develop strategies that support the use of technical, organisational and legal measures for the protection of critical knowledge. This kind of concept is important for companies, because the fear of loosing critical knowledge can be a big hurdle for the adoption of digital technologies and new business models.
Univ.-Prof. Dr. Stefan Thalmann
+43 316 380 - 7600
Institut für Operations und Information Systems
https://business-analytics.uni-graz.at
Can AI control quality in pharmaceutical production?
How reliable is the machine? Can we trust it? And can its operation be certified? Stefan Thalmann and his team investigated these questions in cooperation with the healthcare company Fresenius Kabi Austria. Using pharmaceutical production as an example, the researchers have demonstrated for the first time that automated decision-making meets quality control requirements.
More about the research results on the use of AI in pharmaceutical production
How can we use innovations and protect ourselves?
Stefan Thalmann's research is part of the Smart Regulation profile area. This is dedicated to current issues relating to the intelligent regulation of innovations in the fields of robotics, big data, AI, telemedicine and energy citizenship. Researchers from the fields of law, economics, psychology, philosophy, sociology and theology work together in this area.