A practical framework for moving Edge AI from ideation to real-world deployment
Edge AI offers huge potential, but turning a promising use case into a robust, deployable system can be complex.
This whitepaper from Simms breaks an Edge AI system down into eight functional layers, helping engineering teams understand the responsibilities, interfaces and dependencies across the complete system architecture.
What you’ll learn
Download the whitepaper to explore:
- The eight functional layers of Edge AI, from physical hardware and firmware through to AI runtimes, security and cloud/edge management
- How the different layers interact and depend on one another
- The role of the Human-System Interface (HSI)
- What changes when an Edge AI system operates without an OS
- How to map use-case requirements onto a practical system architecture
- How organisations can move from concept and prototype through to deployment at scale
The paper also explores how Simms can support organisations throughout the Edge AI journey, including architecture mapping, technology selection, prototyping, deployment and supply-chain support.