Artificial Intelligence for Autonomous Network

With our gradual move into the digital era, it is no surprise that almost all networking vendor has various visions for network automation.
The autonomous network is the type of network that functions without the intervention of humans, or, if at all there is any human intervention, it is very minimal.
Furthermore, the network is capable of monitoring, configuring, and maintaining itself all on its own.
All these are not new to the digital world as the term automation itself and the concept of technologies self-providing, self-diagnosing, and ultimately, self-healing has been in existence for a very long time.
Nonetheless, the advancements of artificial intelligence, as well as cloud technologies, has swiftly brought all of these ideas into reality.
Technology like these is mostly used by service providers and even enterprises to enhance efficiency and decrease errors made by humans as well as operating expenses.
They are used more in networks that are heavily burdened with outdated and really old equipment, spreadsheets, and old protocols.
Artificial Intelligence Merging With Autonomous Network
Currently, the majority of us make use of apps that have been enabled by artificial intelligence. Some of which ranges from Apple’s prominent Siri down to Amazon’s Alexa.
We make use of them by asking them to help us with one task or the other. There is also the streaming service such as Netflix that aids us in picking movies as well as television shows that make use of AI.
In this world of the submarine and terrestrial networks, artificial intelligence and all of the elements that build up the cloud are steadily mixing up to allow a new level of networking.
All of these elements range from the following:

• Digitally boundless compute resources

Here, modern-day CPUs will be clustered in a bid to provide huge and almost infinite parallel processing power

• Dynamic connections

This is a highly agile and on-demand bandwidth that has been provision Ed with the specific connection that is needed. This relies on the data that is in transit. It is a very critical component of an autonomous network.

• Big data

For the autonomous network, all of the gathering and data analysis from sensors of the network will lead to better detection of anomalies and patterns.
More On Autonomous Network
On a general note, the autonomous network can be of optimum use when it is used to speed up specific processes that are repetitive like:

• Configuration of new wave services or the new Ethernet services
• Providing customer portals that can give the end-user permission to control demands of bandwidth
• Building up ways to update elements of the network without any intervention from humans.

The fact remains that, autonomous network decreases the prospects of having human errors, and it speeds up responses to the service requests as well as provides self-help tools to the customers.
To Sum It Up
Automation needs to be seen holistically and not just as a conglomeration of diverse processes.
With artificial intelligence embedded in it, the automation network will have wider coverage than it already has.