Intelligence Everywhere
Generating a transformative wave of insights that can take businesses, industries, and even societies to heights of achievement that we’ve only imagined.
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.
More than 5x growth in world data is expected by 2025.1
An estimated 50+ percent of this data will be generated at the edge.1
Real-time data processing is projected to grow 10x.1
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.
In modern hospitals, IoT devices monitor patient health and vital signs with extreme accuracy. Should devices detect an anomaly, like an unusual heart rhythm, the system can alert medical personnel.
In the factory, AI-enabled machine vision systems can quickly identify changes in the operating environment to detect anomalies and help enhance worker safety.
With visual computing and media workloads growing, cloud service providers, communications service providers, and businesses are rethinking how they distribute compute resources from edge to cloud to better support content consumption and other visual experiences.
Intelligent edge deployments can help advance your business in several ways.
Computer vision uses deep learning to analyze video and images for object recognition and intelligently put that information to work.
This toolkit helps simplify the deployment of vision and deep learning applications while optimizing performance.
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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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