After virtualization and containerization, serverless is emerging as the next wave of compute services. Functions as a Service (FaaS), a serverless delivery model, attempts to simplify the developer experience by minimizing the operational overhead in deploying and managing code. Machine learning models that are fully trained in the cloud are deployed at the edge for inference. The heavy lifting takes place in the public cloud while the optimized model is implemented at the edge. The inference model is exposed as a function deployed within the serverless compute environment.

From large platform vendors to early-stage startups, AI and ML have become the key focus areas. VCs poured billions of dollars in funding AI-related startups. Platform companies increased their R&D budget to accelerate research in AI & ML domains. The number of online courses offering self-paced learning has hit the roof. Finally, there is no single industry vertical that's not impacted by AI.