Explore WebAssembly (WASM) adoption in cloud-native applications and its potential for AI as a Service with Kubernetes in this 33-minute conference talk. Learn about the increasing demand for scripting-language applications and libraries in WASM, and how runtimes like WasmEdge enable serverless functions written in scripting languages. Discover the benefits of deploying Machine Learning models as Function-as-a-Service using WebAssembly, addressing the challenges of computationally intensive tasks at the edge. Understand how the WebAssembly System Interface (WASI) provides security, portability, and native speed for ML models while overcoming limitations in accessing native OS and hardware resources. Conclude with a practical demonstration of deploying a Machine Learning model as a serverless function using WASM, showcasing the potential of this technology in cloud-native environments.