Introducing

 

AI & AN

Removing the complexity and uncertainty of implementing AI and Autonomous Networks.

Break down the barriers to intelligent automation

Several key trends in the communications industry, and the upgrade from communications networks to production networks for various industries, are requiring more advanced automatic and intelligent network capabilities. But first, they must overcome several barriers to automation otherwise they will fail to reap the rewards.

Ushering in a new era of growth and transformation

The six barriers identified on the right can be overcome if communications service providers (CSPs) embrace and implement the AI/AN framework which enables CSPs to unlock new revenue streams, improve their agility and operational efficiency while delivering exceptional customer experience. You can join forces with the organizations ushering in a new era of growth and transformation for the telecommunications industry by signing the AN manifesto.

View the AN Manifesto
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Break down the barriers to automation with the
AI/AN framework

ODA: Delivering the FIRST AI/AN framework

We recognize the need for a set of globally agreed standards to enable the industry to simplify working together and to implement the technological and operational complexity required for organizations to succeed.

As part of the larger ODA project, the objective is to expedite the widespread adoption of Autonomous Networks so that:

  • CSPs adopt the Autonomous Networks Levels Evaluation Methodology to assess current and future levels of network automation.
  • Technology partners build and market products and capabilities in a manner consistent with the Autonomous Networks Architecture, APIs and AN Levels.

That is why TM Forum has created the FIRST industry agreed end to end AI/AN framework for operators and partners.

Click on each section below to find out more:

AI & Autonomous Networks

G o v e r n a n c e
AI Governance:
  • AI maturity models
  • AI management APIs
  • Checklists, model cards...

Find more: AI Governance Toolkit

Data Governance:
  • Data governance guides
  • API engine
  • Maturity models

Find out more: Data and Analystics toolkit

Implementation

Intent:
  • TM Forum Intent ontology
  • Intent lifecycle management
  • Intent management API
  • Intent common model

Find out more: Intent toolkit

AIOps:
  • AIOps lifecycle
  • AIOps management framework
  • End to end use cases

Find out more: AIOps toolkit

Measuring & Managing Anatomy:
  • Measuring and monitoring autonomy
  • MAMA framework guidebook
  • Autonomous operations Maturity Model

Find out more: MAMA toolkit

Applications

Autonomous Network (AN):
  • AN maturity levels
  • Reference architecture
  • Effectiveness indicators

Find out more: Autonomous Network toolkit

Connectivity as a Service (CaaS):
  • Vision and strategy guide
  • CaaS reference architecture
  • CaaS API profile

Find out more: CaaS solution

Assurance (CLADRA):
  • Closed loop AI models
  • Implementation architecture
  • Automation APIs

Find out more:  CLADRA toolkit

Digital Twins for Decision Intelligence (DT4DI):
  • DT4DI ontology
  • Reference architecture
  • Lifecycle management
  • Maturity models

Find out more: DT4DI Toolkit

Join the AN project to create next generation AI/AN assets

Intelligent Automation alignment report

The world of Autonomous networks is changing year on year with global standards development organizations (SDOs) refining AN standards, researching key technologies and determining how to evaluate AN levels (ANL) to facilitate evolution towards the highest levels.

In September 2023, at DTW23 - Ignite we launched the AN Journey Guide created by 63 TM Forum members as an industry alignment report to guide the development of AN, demonstrate the latest AN use cases, strengthen industry consensus, accelerate standards, and facilitate network planning and deployment for CSPs and their innovation partners.

Download AN Journey Guide
AN Journey Guide
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Develop the skills to overcome your barriers

To overcome the barriers to automation you need two things. First, the assets of the AI/AN framework and second, the people with the right skills to implement them. This is especially true today as operators rapidly shift to automated networks and upskilling teams to understand and implement them is now critical to their success. This is why TM Forum has developed the following courses:

AI / AN training logo

AI/AN Overview

Understand how AI is changing the telecoms industry and how it relates to the ODA.
AI / AN training logo

AI & Customer experience awareness

A non-technical, high-level introduction course to establish a foundation for leveraging AI in cultivating exceptional customer experience.

AI / AN training logo

AI Closed-loop Management Architecture Fundamentals

Learn about an AI Closed Loop Automation Reference Architecture and process flows around key use cases.

AI / AN training logo

AIOps Fundamentals

This course uses the outputs of the TM collaboration project and Catalyst proofs of concept to explain the latest thinking and principles of AIOps.

AI / AN training logo

Intent driven Automation Fundamentals

Covers the industry standards, vendor-agnostic reference architectures and technical architectures to understand the relationship within the autonomous domains.

Artificial Intelligence & Automation

G o v e r n a n c e
AI Governance details
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Data Governance details
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Implementation

Intent details
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AI OPS details
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Measuring & Managing Anatomy details
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Applications

Autonomous Network details
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Connectivity as a Service (CaaS) details
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Assurance (CLADRA) details
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Digital Twins for Digital Intelligence (DT4DI) details
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