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Top 4 Tech Trends Transforming the Conventions of Enterprise Networking

CIOAdvisor Apac | Monday, July 01, 2019
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Advanced networking is our digital future's unsung hero, providing a continuum of connectivity that can fuel the growth of new goods and services, replace inefficient working models, and enable digital transformation.

FREMONT, CA: The field of networking is evolving rapidly. Enterprise networking has always been at its heart about connectivity and the capacity to interact for various apps, servers, branches, and campuses. So what do business networking experts need to know about over the coming days? Here are a few trends that are likely to affect networking.

1. 5G and Edge Computing

5G, the next cellular phone generation, will be implemented by all-size carriers. Edge Computing is becoming a reality with 5G. 5G's extended bandwidth and reduced power consumption allow for more edge network deployments, whether for stand-alone IoT devices or edge computing deployment. Computer resources are deployed remotely and connected via 5G with an edge computing deployment.

Check This Out: Top Networking Solution Companies

2. SD-WAN

Private connections for MPLS (Multi-Protocol Label Switching) are costly and have always been difficult to set up. A few years ago, SD-WAN emerged as an alternative on the scene, offering organizations a way to bundle multiple public internet connections to enable WAN connectivity. SD-WAN is an increasing market, according to several industry analyst forecasts.

3. The emergence of Cloud-Native Functions 

Virtual Network Functions (VNFs) and Network Function Virtualization (NFV) have been all the rage in the past years, but this will develop with the concept of Cloud Native Functions (CNFs). CNFs encapsulate networking ideas within cloud-native solutions to technology, namely containers and Kubernetes, to allow network functions.

4. Machine Learning (ML)

Companies will begin adopting AI and ML to evaluate the telemetry coming from networks to see these patterns, to get ahead of problems from performance optimization, to economic effectiveness, to safety. ML's pattern-matching skills will be used to detect anomalies that might otherwise be missed in network behavior, while de-prioritizing alerts that otherwise nag network operators but are not critical.

Network providers will prepare systems to support dramatically higher device density and information throughput, and from the network itself, they will receive new analytics on their use of infrastructure. These new capacities together will give systems even more significant assets that companies will harness in futuristic ways

Check out: Enterprise Technology Review

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