Especially in industrial applications, edge computers need to be able to operate with a power supply that might be sporadic. ![]() Power and infrastructure variations at the edge are pushing the boundaries of performance and capabilities of edge solutions. As the numbers of sensors generating data on remote and mobile devices grow, so does the need for efficient storage that can be secured in a variety of environments. Edge computers need to be lightweight devices that can make fast, secure decisions without the support of bigger computing power. Would you like to learn more about the Internet of Things? In this article, we map out more than 100 edge computing use cases across 11 sectors that we believe could create more than $200 billion in hardware value in the next five to seven years (Exhibit 1). ![]() In considering the sheer variety and volume of edge use cases, it becomes clear that the demand for the edge computing technologies that enable them will in turn create myriad opportunities in a vast number of industries. Once the job is done, the drone returns to base and can connect with the larger system, now transferring its data to the cloud, where it can be used to feed algorithms and other advanced analytics activities. This way of computing-on the edge of the cloud-lets the drone stay in sync with both the command center and troops on the ground, without the latency that computing in the cloud involves. While the drone can use mobile satellite connectivity to access the secure military cloud, it’s much faster if it does the computing onboard, using lightweight data storage and compute power. It is essential for the drone to be able to collect, process, and transmit high-quality data in real time, despite numerous challenges, including remote location, limited connectivity, and extreme environmental conditions. Take the scenario of a military drone deployed on a tactical surveillance mission in a high-intensity combat zone. IoT devices tend to operate under different conditions from those of the controlled environments of offices and factories, driving demand for a whole new set of technologies that can allow computing in those situations. This movement of computational capacity out of the cloud-to the edge-is opening up a new sector: edge computing.īy circumventing the need to access the cloud to make decisions, edge computing provides real-time local data analysis to devices, which can include everything from remote mining equipment and autonomous vehicles to digital billboards, wearable health appliances, and more. ![]() Regardless of your industry or stage of deployment, we are here to help make your intelligent edge real, so you can begin creating real value, today.As connected devices proliferate and their capabilities expand, so does the need for real-time decision making untethered from cloud computing’s latency, and from connectivity in some cases. We use our deep expertise and years of experience to help our customers overcome barriers to getting their edge up and running smoothly. However, those just beginning their journey to the edge often face significant barriers to fully realizing its value.Īt Intel, we’ve spent years helping to solve the complexities of IT and operational divides, fine-tuning and validating edge technology and software, and working with our partners to bring hundreds of deployment-ready packages to our customers. Ensure Your Success at the Edge with IntelĬompanies across the globe are positively impacting business outcomes by combining edge computing-the processing, analyzing, and storing of data closer to where it’s generated-with Internet of Things (IoT) devices, artificial intelligence (AI), machine vision, and 5G edge connectivity to turn data into split-second insights.
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