Insights from Edge to Cloud

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.

What Is Edge Computing?

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.

Benefits of Edge Computing

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.

Overcoming Complexity

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.

Untapped Opportunity at the Edge

33 ZB to 175 ZB

More than 5x growth in world data is expected by 2025.1

90 ZB at the Edge

An estimated 50+ percent of this data will be generated at the edge.1

150 Billion Edge Devices

Real-time data processing is projected to grow 10x.1

Intel® Technologies for Edge Devices

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.

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Bringing Intelligence to Life

Today, Intel® architecture-based solutions enable intelligence from edge to cloud, empowering businesses across industries. These solutions improve existing workflows and help companies innovate new services and customer engagement models.

Healthcare

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.

Discover how

Industrial

In the factory, AI-enabled machine vision systems can quickly identify changes in the operating environment to detect anomalies and help enhance worker safety.

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Retail

At retail stores, a mix of IoT devices, cameras, AI, and edge computing can perform complex tasks—for example, interpreting customer activities to inform where employees should stock products on shelves to increase sales.

Explore

Visual Cloud and Media

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.

See how

Edge and Cloud Computing

Edge and Cloud Computing

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.

Read about the edge cloud ›

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AI at the Edge

AI at the Edge, Powered by Intel

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.

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Edge and 5G Network

5G and the Edge: A Revolutionary Combination

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.

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Intel-Powered Solutions

Intel Has the Intelligent Edge Ecosystem

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.

Discover solutions ›

More Resources for the Intelligent Edge

Find out how Intel’s portfolio and ecosystem can help you to develop and deploy edge solutions, including AI at the edge.

Internet of Things

IoT devices offer fast, intelligent data collection at the edge.

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Edge Computing Benefits

Intelligent edge deployments can help advance your business in several ways.

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Computer Vision Solutions for Edge Applications

Intel's portfolio of computer vision products offers a robust choice of compute and accelerators for any use case.

Discover the portfolio

Intel® Distribution of OpenVINO™ Toolkit

This toolkit helps simplify the deployment of vision and deep learning applications while optimizing performance.

Learn more

Notices and Disclaimers

Intel is committed to respecting human rights and avoiding complicity in human rights abuses. See Intel’s Global Human Rights Principles. Intel’s products and software are intended only to be used in applications that do not cause or contribute to a violation of an internationally recognized human right.

Intel® technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

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.

Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries.

© Intel Corporation

Product and Performance Information

1IDC Report: The digitization of the world from edge to core (Nov. 2018).