Our Industries

Discover how Codea´s breakthrough technologies are transforming industries with smarter ways to do business, new growth opportunities and strategies to compete and win.

Freight & Logistics

Omni offers an accurate freight and warehouse management system with built-in redundancies.

Read more
Retail Solutions

ERP for retail helps retailers manage their businesses.

Read more
Hospitality Solutions

Hospitality Solutions comes with integrated reservations systems.

Read more
Fleet Management

Our Software helps companies to overcome the industrial challenge.

Read more

A FEW CLIENTS WE HAVE HAD THE PRIVILEGE OF WORKING WITH

Run your business on the edge

Utilize resources faster with lower latency

Edge Computing

Edge computing is a model that moves computing resources from central data centers or public clouds closer to devices, that is fixed at the edge of service provider networks. By placing computing services closer to these locations, users gain from swifter, more reliable services while companies benefit from the elasticity of hybrid cloud computing. Edge computing is one way that businesses can use and distribute a common pool of resources across many locations. The goal is to process data with lower latency required for lots of new applications, and to ultimately reduce network cost.

Why edge computing?

The unprecedented growth and expanding computing power of IoT devices has developed enormous volumes of data. These data volumes will persist to grow as 5G networks expand the number of connected mobile devices. In the initial period of cloud, the potential of cloud and AI was to automate and speed innovation by steering actionable insight from data. But the unmatched scale and intricacy of data that’s created by connected devices has outperformed network and infrastructure capabilities.

Forwarding all device-generated data to a consolidated data center or to the cloud triggers bandwidth and latency issues. Edge computing proposes a more effective option; data is processed and analyzed closer to the point where it's produced. Because data does not cross over a network to a cloud or data center to be processed, latency is drastically reduced. Edge computing and mobile edge computing on 5G networks facilitates faster and more wide-ranging data analysis, establishing the opportunity for deeper insights, swifter response times and enhanced customer experiences.

Edge computing assists you to unlock the potential of the vast untapped data that is created by connected devices. You can uncover new business opportunities, increase operational efficiency, and provide swifter, more reliable and consistent experiences for your customers. The best edge computing models can help you accelerate performance by analyzing data locally. A well-thought approach to edge computing can keep workloads up to date, maintain privacy, and will adhere to data residency laws and regulations.

An effective edge computing model should address network security risks, management complexities, and the limitations of latency and bandwidth. A viable model should help you:

  • Manage your workloads across all clouds and on any number of devices
  • Deploy applications to all edge locations reliably and seamlessly
  • Maintain openness and flexibility to adopt to evolving needs
  • Operate more securely and with confidence

Gartner estimates that by 2025, 75% of data will be processed outside the traditional data center or cloud.

Devices on the Edge

From connected vehicles to intelligent bots on the factory floor, the amount of data from devices being generated in our world is higher than ever before, yet most of this IoT data is not exploited or used at all. Edge computing harnesses growing in-device computing capability to provide deep insights and predictive analysis in near-real time. This increased analytics capability in edge devices can power innovation to improve quality and enhance value. It also raises important strategic questions:

How do you manage the deployment of workloads that perform these types of actions in the presence of increased compute capacity? How can you use the embedded intelligence in devices to influence operational processes for your employees, your customers and your business more responsively? To extract the most value from all those devices, significant volumes of computation must move to the edge.

Edge computing use case examples

Edge computing is in use today across many industries, including oil and gas to online gaming are leveraging edge computing to improve their products and services, cut costs, and increase market share. To understand the current and future potential for edge computing, review the examples of edge applications in five major industries:

Manufacturing

Edge computing is empowering smart devices such as machine controls, environmental sensors, asset tracking, and assembly line robots to operate with better speed and effectiveness. Smart manufacturing devices count on a tight feedback loop between input, analysis, and output to provide timely responses. Storage costs are another factor. Many manufacturers collect massive amounts of data from monitors, sensors, production line equipment, shipment trackers, etc. Processing and storing this data centrally are far more costly than keeping it near the equipment that generates and consumes it.

Customer Engagement

Customer service, sales and marketing is increasingly customized and automated. Enterprises analyze volumes of data on consumer behaviors so they can offer customized services, both online and in physical retail outlets. Paired with edge computing, retail stores can track a consumer’s route through the store and use that data to re-design store layouts or create tailored in-store advertisements. Improved reality apps supported by edge servers can enable customers to “try on” clothes without physically putting them on. Those applications demand a lot of data and processing power, making them ideal use cases for edge computing.

Healthcare

Edge computing is inciting a range of innovations in healthcare with smarter and faster equipment. For example, hospitals can enhance equipment maintenance, track drug distribution, monitor patient condition in real-time, and manage nursing competence through mobile devices. AI assisted surgical robots can empower remote surgery and assist on-site surgeons to improve their success rates. Likewise, medical devices that collect patient data may also offer diagnosis and treatment recommendations.

Transportation and Logistics

Although autonomous vehicles are a frequently known application of edge computing, there are many other uses edge computing can improve operations in travel, transportation, and logistics, including: condition-based monitoring of transportation equipment, equipment tracking, logistics routing optimization, improved flight navigation, after-sales service of vehicles, and location-based advertising on public transport. Edge computers could be placed in garages, at airports, on board vehicles, on planes, and in video displays on public transport.

Media & Entertainment

Content distribution networks were some of the first uses of the edge computing concept. Rich content such as videos and games located on content servers close to major consumer markets reduced bandwidth demands and improved performance. Edge computing is a similar concept, with the addition of a compute component for streaming media, online gaming, or video- heavy social media sites. Coupled with 5G networks, edge servers enable mobile users to get smoother streaming video, without the need for buffering. Media companies can leverage edge capacity to collect and analyze data on customers to sell them more services and products.

Edge Network Architecture

Edge network deployments can involve multiple layers, different server security approaches, and various edge devices optimized for specific requirements. In practice, endpoint devices like smart cameras serve as a “front line” for edge computing, residing as physically close as possible to the users, equipment, or business process they serve. Edge servers and origin servers offer a secondary layer for edge computing. They function as an intermediary between localized systems and centralized business resources. A primary data center operates as another layer, residing furthest away from physical endpoints.

By positioning computing at the right layer, companies can utilize their resources and design more successful Internet of Things (IoT) strategies. For example, a digital security system. Smart cameras at the edge can identify movement in real time and trigger an alert; a nearby edge server can process the data and determine whether the movement poses a threat; and the cloud can collect and analyze data over the long term to help businesses understand environmental patterns.

An example use case is Internet of Things (IoT) – billions of IoT devices deployed each year produce enormous data. When the data is processed at the edge instead of the cloud, backend cost is reduced. IoT devices expose telemetry needing low latency analysis only achieved at the edge. This improves automation efficiency and equipment utilization.

EAM

Benefits of an Edge Infrastructure

Edge computing can mean faster, more stable services at a lower cost. For users, edge computing means a faster, more consistent experience. For enterprises and service providers, edge means low-latency, highly available apps with real-time monitoring.

Edge computing can reduce network costs, avoid bandwidth constraints, reduce transmission delays, limit service failures, and provide better control over the movement of sensitive data. Load times are reduced, and online services deployed closer to users enable both dynamic and static caching capabilities.

Applications that benefit from lower response time, such as augmented reality and virtual reality applications, benefit from computing at the edge. Other benefits of edge computing include the ability to conduct on-site big data analytics and aggregation, which is what allows for near real-time decision making. Edge computing further reduces the risk of revealing sensitive data by keeping all of that computing power local, thereby allowing companies to enforce security practices or meet regulatory policies.

Enterprise customers benefit from the resiliency and costs associated with edge computing. By keeping computing power local, regional sites can continue to operate independently from a core site, even if something causes the core site to stop operating. The cost of paying for bandwidth to take data back and forth between core and regional sites is also greatly reduced by keeping that compute processing power closer to its source.

An edge platform can help deliver consistency of operations and app development. It should support interoperability to account for a greater mix of hardware and software environments, as opposed to a datacenter. An effective edge strategy also allows products from multiple vendors to work together in an open ecosystem.

Proximity

Edge technology keeps sensitive or proprietary information closer to the source and enables compliance with data localization laws.

Cost

Our portfolio delivers apps with the fastest possible performance, manages all data, with resilience to self-repair to provide a nonexistent infrastructure.

Real-Time Insights

No matter how fast a 5G or network connection may be, large data volumes take time to transfer over long distances. An edge cloud can reduce the latency for edge applications that depend on real- time information.

Edge deployments—and the connected devices associated with them—must protect business and customer data. Security breaches can compromise sensitive data and put trade secrets or other proprietary corporate information in jeopardy. They can interrupt business processes or even halt operations entirely. Data breaches can also result in costly fines and wear down customer’s trust in a business.

Omni Business Solutions offer silicon-enabled security technologies that aid potential attack surfaces. These technologies help create a trusted foundation with product lines that span edge, endpoint, data center, cloud, and network. With a common approach to security, businesses can benefit from simplified deployment and integration.

Technology for the Edge Cloud

Omni Business Solutions products and technologies enable distributed intelligence from edge to cloud with processing, storage, and connectivity wherever you need it. And with our robust ecosystem of OEMs, ISVs, and systems integrators, we help customers deploy edge computing and edge cloud strategies, starting with our high-performance, server-class processors.

Along with our partner ecosystem, Omni Business Solutions delivers robust businesses comprehensive technologies for edge computing, IoT, 5G, and AI. As a solution, businesses can place intelligence where it can present the most value at the edge, in the cloud, or virtually anywhere in between.

Not sure what solution or options you need ?


Request a free consultation and discover the right asset management for your organization. One of our team members will contact you to determine how Omni Business Solutions can improve your organization


Let's Connect