In this podcast episode, the hosts delve into the emergence of edge computing as the next major advancement following cloud computing. One of its standout advantages is the reduction of latency by processing data closer to its origin, which is essential for real-time applications like self-driving cars and industrial manufacturing. They explore various use cases across different industries, emphasizing the need for edge-native applications that can cope with unreliable connectivity and limited resources. The speakers stress the importance of establishing a strong connectivity layer first, then layering data and applications on top, in contrast to traditional approaches. They also discuss the exciting possibilities of edge AI, including prompt augmentation and multi-model workflows, and predict a significant rise in physical AI applications in the near future.
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