| | OCTOBER 201819CIOReviewis forcing manufacturers like automotive companies to see that traditional methods simply don't cut it--that digital twins need a much higher level of fidelity.Intelligent EdgeTraditional data processing methods are inadequate in the face of IoT and big data. Enter ML technologies. By 2021, more than half of enterprise infrastructure will make use of AI technologies. Much will come from embedded devices at the edge of the network, with data pouring in from every conceivable direction: operational and transactional systems, scanning and facilities management systems, inbound and outbound customer contact points, and mobile media and the Web. IoT/big data/AI trends will drive the embedded semiconductor market to more than $20B by 2021.Edge computing brings high-performance compute closer to data sources. Real-time processing is often required to handle massive sensor and IoT-generated data. Often, too, the data is simply too large to tolerate the latency of transmitting to the cloud and must be locally analyzed for pertinent trends or aberrations needing to be flagged and acted upon immediately. These trends are driving demand for networking capacity and compute where it's needed, at the edge of the network. It'll take the form of edge analytics, mobile edge compute, smart IoT gateways, and fog compute nodes, all requiring more CPU and GPU compute capabilities with greater networking.I am more excited now than ever before about the opportunities ahead of us. This new era of networked connections among people, processes, data, and machines will dramatically change how we interact with people and technology. MI may give rise to an entirely new generation of smart products and technologies, embedded everywhere in nearly every manner of device, harnessing data for better productivity. It'll lead to developments over the next five years that we can hardly imagine today. It's a truly disruptive technology--the embedded market is transforming in this new and exciting time. It's a great opportunity for innovation... embrace the disruption. This new era of networked connections among people, processes, data, and machines will dramatically change how we interact with people and technology
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