Generating a transformative wave of insights that can take businesses, industries, and even societies to heights of achievement that we’ve only imagined.
Businesses have long relied on cloud computing for efficiency and scale. Now, on-premise servers, gateways, and smart and connected endpoints are creating new opportunities. Edge computing can help businesses overcome the cost and complexity of data movement and capitalize on new streams of data.
Today, business models often involve geographically distributed branch offices, manufacturing facilities, retail locations, or services. Edge computing systems place edge servers, Internet of Things (IoT) edge devices, and data processing at many different points, wherever resources are needed most. As a result, businesses can converge analytics, media, and networking workloads and bring them closer to the people and processes that rely on them, enabling real-time insights that can transform operations and experiences.
Edge intelligence can give businesses a more accurate view of their operations and fuel new experiences. AI and 5G technologies from Intel are extracting more intelligence from edge data than ever before, providing devices with the ability to see, learn, and make decisions in ways and locations never before possible. These technologies will only become more important as the volume of data being generated by connected devices explodes.
Because distributed edge computing collects and analyzes data locally, it offers several advantages.
Meeting Data Locality and Privacy Needs
The transfer of sensitive or proprietary information between the edge and a central data warehouse introduces potential security risks. Edge computing keeps data at or near its source to help keep information and IP secure and comply with any data locality regulations.
Reducing Transmission Costs
With devices generating more data than ever, the cost of bandwidth for large-scale data transmission to the cloud adds up. With edge computing, businesses can strategically choose which data to send to the cloud.
Achieving Ultralow Latency for Real-Time Results
Finally, no matter how fast a network or 5G connection may be, data takes time to transfer over long distances. For systems that depend on real-time information, even a few seconds can dictate success or failure. Edge computing reduces latency, resulting in more responsive systems.
As more devices generate more data, existing infrastructure, bandwidth restrictions, and organizational roadblocks stand in the way of extracting beneficial insights. What’s more, there is no one-size solution that fits everyone. Different applications require different types of compute and connectivity and need to meet a variety of compliance and technology standards.
The secret to success in achieving intelligence everywhere is having choice, flexibility, and effective collaboration.
Intelligent devices designed to work well in edge environments come in many forms to accommodate different scenarios—from cameras to drones to PCs to digital signage. Often, devices have built-in technologies to process the data they collect. By placing intelligence and analytics capabilities on the devices themselves, edge deployments provide meaningful information almost instantly.
While distributed edge-based computing excels in many scenarios, cloud computing still plays an important role. In fact, edge and cloud complement one another.
Cloud computing and data centers offer excellent support for data storage and computing workloads that do not demand real-time insights. For example, a company may choose cloud computing to offload long-term data processing and analysis or resource-intensive workloads like AI training.
However, the latency of connections between the cloud and edge devices makes cloud computing impractical for scenarios in which enterprises need real-time insights. In these cases, an edge cloud strategy offers a unique value.
Intel’s diverse portfolio of hardware and software for edge AI offers the most robust choice to meet various performance, power, and price requirements—enabling virtually any use case in any market.
The 5th generation mobile network—5G—promises to start a revolution in connectivity. By allowing faster, lower-latency data transmission from more devices, 5G will enable edge computing, bringing intelligence and analytics closer to where they’re needed, along with strategically distributed storage and services.
Powerful applications are expected to emerge as IoT, AI, and 5G converge. Revolutionary new use cases will include personalized real-time shopping, lifelike immersive media, augmented reality, and automated robotics.
Intel’s complete offering of hardware, software, and network solutions helps achieves intelligence everywhere, from the edge to the cloud. Our ecosystem helps meet diverse needs at the edge by bringing together a global network of developers and technology providers to collaborate with enterprise customers on groundbreaking solutions.
Intel offers an unparalleled portfolio of compute, software, developer tools, and other technologies optimized for existing and emerging edge workloads. With Intel as their partner, businesses gain access to an unrivaled selection of scalable solutions that are ready to implement.
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Cost reduction scenarios described are intended as examples of how a given Intel®-based product, in the specified circumstances and configurations, may affect future costs and provide cost savings. Circumstances will vary. Intel does not guarantee any costs or cost reduction.
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