Edge-intelligent solutions are a complex chatter of inputs and outputs between machine learning models, transactions, behaviors, and event streams to support business processes and routing logic. Data governance requirements are increasingly behaviorally driven rather than rules driven, and today’s digital systems break the norms and performance of centralized data and event-driven solution architectures. Data products solve this, but they only work when data engineers and app dev are on the same page. This report explains how app dev and DevOps must understand data engineering and architecture to deliver trusted and reliable edge-intelligent solutions with high business impact.