Cloud Network Technology Singapore

Cloud Network Technology Singapore

Cloud Network Technology Singapore

Cloud Network Technology Singapore

Cloud Network Technology Singapore: Network and Edge services provide software-defined access complemented by 5G-enabled edge

Kyndryl Network and Edge provides the expertise, services and technologies to help businesses prepare for the next wave of the cloud with 5G-enabled edge and software-defined networking technologies such as SDN and SD-WAN – regardless of size and complexity.

By providing 5G-enabled software-defined and edge services, Kyndryl creates a “core-to-edge” story that includes end-user device integration, cloud application delivery, high-security capabilities and innovative network services, helping customers build strong end-to-end, carrier-neutral solutions with a highly programmable network.

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About author

Brian Partridge

Research Director, Applied Infrastructure & DevOps and IoT

Brian Partridge is Research Director for Applied Infrastructure and DevOps and

IoT research channels at 451 Research, part of S&P Global Market

Intelligence. In these roles, Brian has overall responsibility for channel research

outputs and team leadership. As a researcher, he actively contributes to

agenda and has expertise in telecommunications infrastructure and business

network domains.

Brian joined 451 Research through the acquisition of a mobility research company

Yankee Group in 2013. During his nearly 10 years at Yankee Group, Brian held various roles

leading marketing and sales roles at leading technology suppliers such as

Partridge holds a BS in Business Administration from the University of New

Hampshire and an MBA from Plymouth State University.


The era of 5G connectivity powered by intelligent edge and cloud networks will bring blazing fast bandwidth

and extremely low latency performance as well as deep integration with cloud services. After years of anticipation,

we are entering the implementation phase, marking the initial rollout of 5G networks around the world. business

leaders should now identify use cases that can leverage these platforms to deliver positive business

results. Over the next few years, we expect intelligent edge cloud networks to be a major driver

business transformation across multiple industries including manufacturing, retail, healthcare and transportation.

Strategic planning is essential. Confidence in execution is important.

harness the power of these technologies as quickly as possible and launch change programs to align strategies, people and

processes accordingly. This Pathfinder paper is for executives who want to start an idea,

review the common requirements and consider some practical recommendations.

The Roadmap to the Intelligent Edge


Cloud networks

Intelligent edge cloud networks are made possible by the convergence of four main technological pillars:

artificial intelligence (AI), 5G, edge computing and cloudification of enterprise and telco network systems

(see Figure 1).

1. Cloudification:

Enterprises and telecom operators have embarked on a journey to adopt the cloud

technology and operating models. This includes deploying cloud-native IT and networking

infrastructure that includes open, hybrid and multi-cloud architectures. There are more and more networks

intelligent, replaceable, automated and integrated through technologies such as microservices, network segmentation, SDN/


2. Edge computing:

Businesses are taking full advantage of the transition to hybrid IT infrastructures that

incorporate edge computing. Edge computing is required for emerging workloads such as IoT that enable

digitization of physical assets and processes.

enabling greater OT/IT collaboration and convergence.

3. Artificial intelligence:

AI, machine learning and advanced analytics will play a central role in

the emergence of extreme automation with the goal of “Zero Ops” and business operations are increasingly

data driven and automated.

4. 5G:

The global deployment of 5G accelerates these transitions by providing a step change in mobile bandwidth,

device density and latency performance. 5G is also the first “G” transition that will require widespread use

cloud native technologies and development and testing practices. Going cloud-native increases

the speed with which telcos can roll out new services and tightens integration with enterprise IT.

In the next few years, intelligent edge cloud networks will bring new complexity and integration

challenges requiring careful planning around issues such as data privacy, security and governance.


leaders must determine the operating and consumption models that best match their existing goals

governance models and internal skills.

Businesses have high expectations for 5G. According to 451’s Voice of

in the Enterprise: Internet of Things survey, nearly half of respondents (46.4%) said they plan to use it as their primary networking technology for connecting to the Internet of Things.


Discrete and process manufacturing firms face an urgent situation

they need to automate and add intelligence to their physical processes

increase the quality, speed and efficiency of production. They have to

also manage institutional risks by improving overall security and

protection of equipment and workers. Many also have to struggle

“big shift change” – loss of expertise and related skills

with an aging workforce. The beginnings of this call for digital

technologies to support these goals have arrived with Industry 4.0

movement. 5G edge cloud networks combined with extended/

virtual reality, AI/ML and IoT sensors provide a platform that

moves the concept of Industry 4.0 forward.

cloud network technology singapore

5G edge cloud networks provide the performance needed for production and health-based monitoring

maintenance, quality management through vision analysis, advanced robotics and human worker coordination

(so-called cobots).

augmenting real-time workers through low-latency dependent AR/VR platforms that help solve problems

with field factory equipment or to enable the transfer of knowledge between experienced and inexperienced workers.

5G capabilities, such as the use of master clocks to synchronize robotic processes, will continue

improve efficiency and safety.


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