The concept of edge computing extends data processing from the cloud to the point of interaction, providing advantages such as speed, resilience, data governance, and bandwidth efficiency for applications. The hybrid approach of combining both centralized and decentralized AI capabilities is gaining traction, with edge computing playing a crucial role in achieving this balance. A mobile database platform like Couchbase supports both cloud-based AI training and on-device AI processing, enabling the creation of seamless pipelines from model training to application. By integrating AI across the architecture, data scientists can leverage SQL queries to bind Python code as functions, reducing tedious ETL processes. The combination of edge computing and a mobile database platform makes it possible to layer AI-processing and data-processing workloads into any topology required for the fastest and most scalable integrated AI systems.