Turning business intent into network action

Intent-based networks

The explosion of data and abundance of new opportunities at the network edge brings a need for business-resilient operations which are automated, data driven and intuitively adaptive. To deliver on this promise, we are leading the telecom industry into an era of autonomous intent-based network operations opening new opportunities for automation, performance improvements, and efficiency gains of network operations.

What are intent-based networks?

The traditional telecom business landscape is evolving. The expanding scope of 5G and areas of usage are bringing new customers, new expectations and new challenges to telecom operations. In this environment, the role of both business intent and automated operations will be crucial to ensuring enterprise resilience.

Intent-based networks enable today’s service providers to define the behavior they expect from their network, such as “improving network quality”, for the system to then intuitively translate it into real-time network action. Through closed loop automation that includes business intent capture, translation and activation, the network will continuously monitor and adjust to ensure alignment with business intent – with minimal human intervention whenever needed.

Welcome to the next era of intelligent network operations.

Benefits of intent-based networks

Achieve desired business outcomes

Through closed loop automation which includes business intent capture, translation and activation, intent-based networks can intuitively align with your specified business intent – transforming operations from service level KPI’s to your business level KPI’s.

Increase operational efficiency

Applying intent and automation to network operations significantly reduces the time it takes to configure your network – accelerating response times and delivering smoother network management.

Deliver superior network experience

Through a reasoning loop which actively monitors your network environment, intent-based networks will intuitively ensure that your key performance indicators are met, and if not, take corrective action in real time.

Ensure secure network operations

As a key part of automating your network operations, intent-based networks are designed to safeguard and implement your network’s security and prioritization policies associated with a wide variety of applications, users and locations.

How do intent-based networks work?

01

Define business intent

High-level business intents are complex, so we break them down into end-to-end service level goals and KPIs for each domain and node.  A business intent in telecom networks could be, for example, configuration of a particular network topology. More complex intents could be “reducing the energy consumption by five percent” or “improving the customer satisfaction score by 2 percent points in a cluster of cells”.

02

Break it down

This top-level business intent is broken down into multiple distributed local goals. Intelligent agents and machine learned models are developed based on these requirements.

03

Execute autonomously

Once these service KPIs are established, all node level machine learning agents are consulted to give predictions. Based on these recommendations, autonomous actions are executed through a closed loop system that is based on advanced analytics, automation and artificial intelligence (AI).

How do intent-based networks work?
Intent-based network operations and machine reasoning

Intent-based networks are built using powerful and intelligent machine reasoning technologies. These technologies apply human-like common sense to learned data by analyzing vast knowledge and data sources and bringing clear explainable insights to the increasingly complex world of network operations.

Machine reasoning

Intent-based 5G network slicing operations

Network slicing is critical to delivering the real value of 5G. By delivering just the right connectivity for just the right use case, network slicing makes it possible for service providers to manage scale and complexity, meet high and diverse customer expectations, and increase revenues through new services and business models.

Advanced automation and AI-driven solutions are an essential part in making this happen. Across each 5G network slice, service level agreements (SLA) are defined which reflect the business intent and needs of the customer. This, in turn, is used as input for the network’s cognitive AI system to ensure seamless alignment with business intent through SLA predictions, root cause isolation and constraint solving.

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