Identifying the right data and AI use cases – the Assessment Framework
Everyone is talking about artificial intelligence (AI) and generative AI (GenAI) in particular. Beyond the hype, executives have agreed for some time that data and its analysis (such as through AI) play a key role in the transformation of entire business models (Gartner, 2018) and are seen as an in-vestment focus for companies worldwide (IBM, 2023) . However, to date, many companies have struggled to successfully implement their data and AI activities due to a variety of associated chal-lenges. Due to the complexity of the perspectives to be considered, companies are constantly faced with the challenge of identifying the specific use cases that are best suited to them and promise the most value potential, whether classic AI, GenAI or data sales.
Accordingly, one research focus of the Competence Center Future Financial Services (CC FFS) is to provide companies with guidance on how to create value from data and AI. This blog post is dedi-cated to the decision factors that support the choice of the right data and AI use cases and presents excerpts from a scientific paper that was written as part of the CC FFS research (see Kakuschke et al., 2025) .
