Big Data Analytics & AI
Unlocking data treasures in businesses
Unlocking data treasures in businesses
Prof. Dr. Mathias Klier
Julia Brasse
Dr. Maximilian Förster
Roland Graef
Philipp Hühn
Kilian Kluge
Lars Moestue
Dr. Andreas Obermeier
Torben Widmann
Jan Felix Zolitschka
Today, companies have access to very extensive 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), but also in traditional databases (e.g., data warehouses, customer databases) and in direct customer contact (e.g., humanoid robots such as Pepper). At the same time, the vast majority of the available data is stored in unstructured form (images, videos, texts). Methods for automated analysis are required in order to exploit this treasure trove of data. In the topic area Big Data Analytics & AI, concrete application possibilities and the resulting benefits of artificial intelligence methods in the analysis of (un)structured data are being researched. The comprehensibility of these methods is additionally researched in the topic area Explainable Artificial Intelligence.
#Big Data #AI #Pepper
Projects