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.
Cloud Network Technology (Samoa) Limited
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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
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
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).
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/
NFV and SD-WAN.
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.
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
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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Cloud Network Technology Singapore