The need for real-time responses, minimal latency, and stringent privacy requirements is driving the demand for AI applications at the Edge. In this chapter, we will explore the evolution of AI at the Edge and the latest innovations. This chapter also explores the concept of distributed artificial intelligence (DAI) and how it applies to Edge AI solutions, such as multi-agent systems and Swarm Intelligence. The concept of AI as a Service (AIaaS) is explained with reasons for its rapid adoption in sectors such as healthcare, manufacturing, transportation, retail, and entertainment. Price, performance, and security are the major challenges in the large-scale adoption of Edge AI. We conclude the chapter with the new and upcoming developments in Edge AI.