Pattern-based workflow templates combined with AI assistance can dramatically lower the barrier for non-experts to build and deploy sensor applications across edge-to-cloud infrastructure.
This paper presents a methodology for quickly building sensor-based applications that process data across edge devices and cloud infrastructure. Using AI assistance and reusable workflow patterns, the authors show how scientists can rapidly prototype applications for monitoring air quality, earthquakes, and soil moisture without needing deep expertise in distributed systems.