Executive Blog: AI at the IoT Edge Is Disrupting the Industrial Market

Artificial intelligence (AI) at the edge of the network is a cornerstone that will influence the future direction of the technology industry. If AI is an engine of change, then semiconductors are the oil driving the new age that is being defined by machine learning (ML), neural networks, 5G connectivity and the advent of blockchain, digital twins and the metaverse. Despite recent disruptions to the chip industry due to supply chain and more recently, macroeconomic factors, the confluence of AI – and the Internet of Things (IoT) known as AIoT– is poised to shift the world from cloud-centric intelligence to a more distributed intelligence architecture. It is expected that a staggering 73.1 zettabytes of data is expected to be generated by IoT devices, in 2025 according to IDC Research. As a result, endpoint data will increase at a CAGR of 85% from 2017 to 2025, driving intelligence from the cloud to the endpoint to run AI/ML workloads within tiny machines (TinyML).