Act on insights closer to where data is created

Research shows that around 10% of enterprise-generated data is created and processed outside a traditional centralized data center or cloud. By 2025, this figure is expected to reach 75%¹. If you're a CIO in just about any industry, you realize that a more decentralized approach — an edge computing approach — is necessary for digital transformation.

But how do you manage and secure a topology with tens of thousands of edge servers and hundreds of thousands of edge devices in a cost-effective manner? The answer: IBM® Edge Application Manager, an intelligent and flexible platform that provides autonomous management for edge computing. A single administrator can manage the scale, variability and rate of change of application environments across tens of thousands of endpoints simultaneously.

This solution is a full lifecycle edge environment that helps you safely create, deploy, run, monitor, maintain and scale business logic and analytics applications at the edge. It can run anywhere and manage workloads on virtually any edge endpoint, including servers, gateways and devices. Edge endpoints run on containers and the Red Hat® OpenShift® enterprise Kubernetes orchestration platform. This gives you the choice and flexibility to extend from any public or private cloud to any edge server or device.

Key benefits

Better data control and costs

Minimize data transport to central hubs and reduce vulnerabilities and cost.

Faster insights and actions

Tap into new sources of data created and processed at the edge.

Continuous operations

Run autonomously, even when disconnected, and reduce disruption and cost.

Gartner and IBM discuss edge computing and automation

If you're a CIO in manufacturing, banking, or just about any industry, you may be considering a strategy to increase revenue and cost savings through a massively decentralized computing architecture. This is called edge computing. Edge computing allows you to act on insights closer to where data is created.

With edge computing, today's businesses have the potential to virtualize the cloud beyond the four walls of the data center. Workloads created in the cloud, including some of the more modern forms of AI and analytics, can now be migrated out toward the edge. Where appropriate, data generated at the edge can be cleansed, optimized and brought back to the cloud.

In this webinar, Bob Gill, Research Vice President, Gartner, and Rob High, Vice President, IBM Fellow, CTO, IBM Edge Computing, dive into the benefits of edge computing, explain the need for autonomous management and share key use cases that support a safe return to work.

Find out how IBM Edge Application Manager powers a safe return to work

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Crowd density measurement

Monitor the density of people in a specific space, based on people in the camera’s field of view.

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Elevated body temperature monitoring

Identify elevated body temperatures of individuals as an indicator of potential unsuitability for work.

person wearing a face mask

Face mask detection

Analyze face mask usage without jeopardizing the identity of anyone in the image.

IBM and ClearBlade announce new edge computing partnership

Watch how your industry can gain a competitive edge

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Banking and financial services

Make ATM banking safer and more efficient with edge IT.

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Retail

Revolutionize and personalize modern retail experiences.

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Communications service provider (CSP)

Save on capital and operating expenses when establishing IT infrastructure.

Learn about edge IT for your industry

Discover what's possible in banking, manufacturing, retail and more with edge computing.

Testimonials

Get started with IBM Edge Application Manager

Take a product tour of IBM Edge Application Manager and explore how you can get a consolidated view of all edge devices and manage the software services they deploy. Get fast access to technical documentation and schedule a free virtual consult on edge computing.