The added value of VeriDream goes beyond the progress in the individual industrial use cases. The use cases themselves are in fact data points for further analysis within VeriDream. Which of the use cases will be success stories? Which of them will lead to only marginal improvement in KPIs, or not at all? Documenting our experiences and lessons learned on the pathway to answering these questions, and sharing them with the broader research and industrial communities is the overarching objective in VeriDream. This will allow other SMEs to understand the advantages and pitfalls of machine learning, thus improving their ability to judge and apply machine learning algorithms for their own use cases. In the long-term, making such knowledge available will make SMEs more competitive, thus ensuring growth and securing jobs.