Extreme automation assures network performance for millions of users: people, devices, slices
New advances in artificial intelligence and automation coupled with the adoption of 5G technology are resulting in unprecedented opportunities to increase revenue and reduce costs for communication service providers. As network implementations move to software modules hosted on cloud, automation coupled with AI becomes a critical component of network design and operations.
Nokia leverages Bell Labs Artificial Intelligence breakthroughs to deliver software products and methods that CSPs can use to prescribe, test, deploy and update processes with full automation in ways that ensure the required trust and controls are met. We support new breakthrough CSP best practices for modular roll-outs; small projects that have clear business returns and then cascading toward larger scale full automation.
Benefits of automation
The game has changed. Practically speaking, 5G technology requires communication service providers to adopt artificial intelligence driven automation frameworks. Automation has been in use for decades in telecom networks, but typically only for operational cost reduction. With the introduction of 5G, the nature of automation changes.
5G is a first because it includes technology advancements that rely completely on automation in order to function. It has capabilities, such as massive machine to machine communications, that vastly increase the number of endpoints to manage. It includes SLA delivery models that require automation because the number of variables is beyond human capability to manage. And it supports network slicing, where automation becomes key in managing common resources for which many slices may contend.
But regardless of whether the network is 5G, 4G, or 3G, the benefits are clear:
Through automated network intelligent workflows. These include service auto-deployment, auto-configuration, and in general automation of the service creation and management framework.
Fully automated service management
Aside from faster service launch and delivery, those services can become fully self-managing with closed-loop automation.
Intelligent Customer Care
Capabilities such as real-time analytics and proactively alerting customers result in better customer experiences
Reduced operations time intervals
Automation reduces swirl time between disparate systems when making network changes, and at the same time reduces introduced errors
Dynamic decisions in real-time allow optimizing resource usage, such as automated scale-in / scale-out of the network size based on traffic conditions. This is not possible to do with manual operations.
This is the traditional role of automation, which lowers operations cost by automating repetitive processes and manual procedures including pre- and post-check validations.