Edge Computing

Reimagine experiences for people, purpose and profitability

Many organizations struggle with legacy systems that pose security and maintenance risks and keep data siloed, hindering AI use cases. Edge computing lets companies deploy AI for real-time applications like robotics and agents, while processing data locally to reduce latency and boost security. Modernization with edge unlocks seamless cloud integration and paves the way for advanced AI innovation.

50%

of enterprise-managed data will be created and processed outside traditional data centers or the cloud by this year.

83%

of executives believe edge computing will be essential for future competitiveness.

81%

of companies think failure to act quickly can lock them out from the full benefits of the technology.

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Innovating at the Edge of technology

Fueling industry reinvention by unlocking new value at the Edge, closer to people and devices.

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Real-time data processing and AI-driven decisions

Intelligent edge is reshaping how businesses tap into data by bringing processing closer to the data source. As organizations adopt AI and advanced analytics at the edge, they unlock new capabilities for real-time insights and automation. This means greater operational efficiency, smarter customer interactions and higher productivity. Intelligent edge is not just a trend—it's a competitive advantage.

Extend cloud capabilities and services to the edge with specialized compute, AI and central orchestration to create a unified infrastructure and cloud-like security. Modernizing your infrastructure drives data- and AI-powered edge innovation.

83%

of executives believe edge computing will be essential to future competitiveness.

Prepare your organization for the future by adopting edge AI. Edge AI enables businesses to act on real-time data while enhancing decision-making and improving overall business agility.

66%

of respondents in an IDC survey plan to run AI or machine learning workloads at the edge, recognizing the power of real-time insights and efficiency at scale

Establish software-defined networks (SDN) and network-as-a-service, including cloud WAN, MEC, private 5G, edge security and distributed clouds. Boost resilience and security with SDN, separate site operations and guest access and secure connected devices.

What you'll achieve

Faster, smarter decision-making

Unlock faster decision-making and action while reducing latency and boosting operational efficiency through real-time insights.

Better user experience

Personalize customer and employee experiences by rapidly scaling industry-specific use cases with previously untapped data and AI available at the edge.

Improved operations

Save money by reducing total cost of ownership across infrastructure and operations, while boosting IT productivity to lower application development and support costs.

What’s trending in Edge Computing

Research Report

Leading with edge: How to reinvent with data and AI

Edge enables the rapid processing of data close to its source and plays a key role in evolving AI for the enterprise. Our research reveals how companies across the globe are using edge, and how they can scale its value.

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Blog

How integrating edge with cloud, data and AI unlocks value

Our research found four different approaches to edge adoption, each with their uique use cases and outcomes. We explore each type to show how edge, cloud, data and AI and can come together to create more powerful value.

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Blog

Why edge computing is the future of cloud

Accenture's Teresa Tung explains why edge computing is the future of an extended cloud continuum powered by technologies such as IoT and 5G.

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Blog

How can 5G + Edge + Cloud help prevent wildfires?

Accenture’s Global 5G Lead, Jefferson Wang, talks about how 5G enables edge compute and cloud to help prevent wildfires.

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Accelerate your journey

myNav®

Manage discovery, assessment, containerization and end-to-end migration from planning to execution with differentiated and industrialized tools that simplify, automate and accelerate delivery.

Edge orchestration platform

Manage the complexity of the Edge-Cloud Continuum at scale. Comprises services and tools supporting the deployment and management of edge devices and analytics.

Hardware optimized edge deployment

Deploy AI at scale with customized models based on your edge hardware. For example, collaborate with Intel (OpenVino) and Nvidia (NeMo) to optimize and deploy for high throughput on compute- and power-constrained hardware.