Introduction to the Artificial Intelligence that can be applied to the Network Automation Journey

TL;DR

This paper introduces how artificial intelligence can be integrated into network automation, particularly within the NetDevOps paradigm, to address challenges posed by diverse hardware and software ecosystems.

Contribution

It presents a conceptual overview of AI applications in intent-based networking and discusses the need for new algorithms to support NetDevOps workflows.

Findings

AI enables more adaptable network automation processes

New algorithms are required for intent recognition and translation

AI integration can improve network management efficiency

Abstract

The computer network world is changing and the NetDevOps approach has brought the dynamics of applications and systems into the field of communication infrastructure. Businesses are changing and businesses are faced with difficulties related to the diversity of hardware and software that make up those infrastructures. The "Intent-Based Networking - Concepts and Definitions" document describes the different parts of the ecosystem that could be involved in NetDevOps. The recognize, generate intent, translate and refine features need a new way to implement algorithms. This is where artificial intelligence comes in.