Overview

What is IBM Cloud Pak for Network Automation?

IBM Cloud Pak for Network Automation is an AI-powered telco cloud platform that enables the automation of network operations with the goal of helping CSPs to transform their networks, move to zero-touch operations, reduce OPEX and deliver services faster.

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Tech Details

What is IBM Cloud Pak for Network Automation?

IBM Cloud Pak for Network Automation provides a suite of automation and AI features to orchestrate, operate and optimize multivendor network functions and services while evolving to autonomous operations. IBM Watson® AIOps technology from the IBM Cloud Pak® for Watson AIOps, helps users gain insights, with the goal of improving client experiences and driving network efficiencies. IBM and Red Hat open-source cooperation, coupled with a joint multivendor ecosystem, allows CSPs to onboard certified virtualized network functions (VNFs) and containerized network functions (CNFs).

Normalized lifecycle modeling
Standardized operations for all network functions (xNFs) to enable model-driven automation with continuous integration

continuous delivery (CI/CD) toolchains.

Intent driven orchestration

Models the desired service operational state rather than preprogramming workflows.

Service design and testing

Automation for the service itself and underlying resources for test, preproduction, and production environments.

Dynamic service assurance

Real-time view of network and cloud infrastructures using AI to drive decision-making and process automation.

Closed-loop operations

Automated feedback loop between assurance and orchestration to enable zero-touch operations.

IBM Cloud Pak for Network Automation allows CSPs to virtualize and modernize operations support systems (OSS) and business support systems (BSS). This enables the support of dynamic operations management for fast-changing virtual or container network services in production.

The utilization of advanced analytics, machine learning (ML) and AIOps further helps to discover hidden patterns and trends so CSPs can continuously optimize network operations and performance with minimal human intervention.