Organizations have moved from the rigid structure of classical project management towards the adoption of agile approaches. This holds also true for software development projects, which need to be flexible to adopt to rapid requests of clients as well to reflect changes that are required due to architectural design decisions. In this context, Data Science has established itself as corner stone within organizations and businesses, with Artificial Intelligence (AI) becoming an ever-more important technique for the analysis of large datasets. A systematic measurement and analysis of various parameters, whether these consist of numeric, textual, or audio-visual information, is promising for the facilitation of a wide range of new applications. At the same time, the increasing connectivity demands for inherent security by design concepts and designs to ensure safety, security and reliability of these systems. Thus, it is now imperative to assure this evolution within an interactive approach towards an evolutionary step-by-step development to realize core essential business applications and use-cases.