Artificial intelligence is evolving from centralized cloud-based models toward distributed architectures where inference occurs increasingly closer to the source of the data. In this new paradigm, edge computing becomes a key element for accelerating decision-making, reducing latency, optimizing costs, and strengthening data privacy and sovereignty.