Nowadays, companies and organisations have access to vast and ever-growing volumes of data – for example, via social media and the internet (e.g. online social networks, wikis, rating and review communities, discussion forums), as well as in traditional databases (e.g. data warehouses, customer databases), through direct customer contact or in human resources management. In other areas too, such as professional sport, large volumes of data are increasingly being generated, for example through match and player tracking data.

The vast majority of the available data is stored in unstructured form (e.g. images, videos or text). To unlock this treasure trove of data, methods for automated analysis are required. In the research area of Big Data Analytics & (Gen)AI, we investigate specific applications and the resulting benefits of artificial intelligence (AI) methods – including generative AI – in the analysis of (un)structured data. The interpretability of these methods is also examined in the research area of Explainable Artificial Intelligence (XAI).

The focus is on the following areas:

• Analysis of unstructured data using (Gen)AI
• People Analytics and data-driven decision support in business
• Sports analytics and data-based performance analysis in professional sport
• AI-supported human-machine interaction

#BigData #AI #GenAI #PeopleAnalytics #SportsAnalytics #XAI

Projects

• Automation of incoming mail in the insurance industry
• Evaluation of player actions in football
• Use of humanoid robots in customer service
• Future skills and competencies
• GenAI in knowledge work
• Information extraction
• Secure and scalable supply chains for SMEs (SafeScale-SMEs)

• (Partial) automation of online customer service