  Artificial Intelligence (AI) technologies are moving from customized
deployments in specific domains towards generic solutions horizontally
permeating vertical domains and industries. For instance, decisions on when to
perform maintenance of roads or bridges or how to optimize public lighting in
view of costs and safety in smart cities are increasingly informed by AI
models. While various commercial solutions offer user friendly and easy to use
AI as a Service (AIaaS), functionality-wise enabling the democratization of
such ecosystems, open-source equivalent ecosystems are lagging behind. In this
chapter, we discuss AIaaS functionality and corresponding technology stack and
analyze possible realizations using open source user friendly technologies that
are suitable for on-premise set-ups of small and medium sized users allowing
full control over the data and technological platform without any third-party
dependence or vendor lock-in.
