Future of Connectivity: what you need to know.

Future of Connectivity: what you need to know.
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With new connectivity technologies, companies must create detailed plans to harness their potential.

According to DataReportal, the average user spends seven hours per day on the internet, and over 66% of the global population spends four of those hours on their cell phone. In one year, average mobile speeds have increased by almost 50%, and by 2026, 5G is expected to represent half of all mobile traffic.

As the world grows increasingly reliant on digital technology, businesses will need to maintain a constant investment in their connectivity infrastructure to stay competitive. Today, we bring you 2 trends that you need to pay attention to:

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Enterprise broadband networks extend from offices to production.

As industry digitalization from IT to OT enters its most difficult phase, new applications such as remote control, machine vision, man-machine collaboration, and edge computing require a new enterprise broadband network that can provide high bandwidth and meet real-time communication requirements.

Next-generation enterprise networks will eliminate the boundary between IT and OT networks and enable the converged bearing of IT and OT through deterministic broadband networks such as 5G and time-sensitive networking (TSN) as well as network slicing technology. This will allow enterprises to upgrade from the traditional human-centric, pyramid-shaped operation architecture to an intelligence-centric, flattened operation architecture. This satisfies the requirements of any-workforce connectivity.

It will also decouple data from the transport layer meaning that, based on a universal transport layer, devices from different vendors will be able to flexibly share data and work seamlessly together, satisfying the requirements of any-workload connectivity. The new agile is comming.

Network administration shifts from software-defined to digital twins.

In recent years, as software-defined networking (SDN) and telemetry technologies advance, the capability of software to abstract away physical devices is improving.

In the next five years, AI will be introduced to existing cloud-based network management platforms to learn from training data and perform the closed-loop simulation of action to be taken. Instructions and operations are first executed in a simulation, after which they're sent to the SDN controller for real execution on the network. This simulation process improves system robustness and predictability.

In the next 10 years, as sub-second/millisecond-level hard real-time network data collection, modeling, simulation, prediction, and control capabilities become mature, and with the adoption of the new computing-network integrated architecture, an always-on digital twin network system will be built for physical networks. This will accelerate innovation in network software functions.

It's important to keep an eye on both of this trends which will have a strong impact in the productivity levels of any company. Keep in mind that at e•Saurio we are tech experts and every Wednesday we bring you a new article with all you need to know about the tech world.

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