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Table of Contents

1. Theme Information

Page properties

* indicates that this field is required

Theme Name*Data & AI
IPR Mode*

RAND

Info

Explanations of each mode is available at http://www.tmforum.org/IPRPolicy/11525/home.html


Strategic ProgramZero Touch Operations
Theme Website LinkAI, Data & Insights - TM Forum Confluence please rename to AI & Data
Theme LeadYvonne Kuimba
TMF Project ManagerAlan Pope and Stuart Dunn 




2. Theme Overview / Executive Summary


Value
Mission
  • Reducing risk and governing AI & data to manage and monetize AI opportunities at scale.

  • Enabling our industry to understand the practical potential of AI and to build the foundations for long term success by overcoming the challenges inherent in embracing AI at scale, and making the bold choices needed to re-ignite growth and seize the opportunities presented by AI.

Value

  • The critical technology for driving telecoms' growth is AI, with its ability to transform business models, deliver a step-change in operations efficiency, and accelerate service innovation. 

  • AI-driven operations are predicted to save the the telecoms industry $27 billion in the coming decade, reduce time to market by leveraging AI to automate manual tasks, reduce customer churn and improve life-time value through effective use of AI and help operators invest wisely to get the right results with AI by embracing AI safely and affordably at scale
Implementation

  • Covering:

    • AI readiness
    • AI governance
    • AI and data management
Theme Projects
    • Composable AI-enabled Automation
    • Data democratization for AI Use-cases through Open standards
    • Value-based Management of AI-enabled Operations, catering for GenAI and LLM
    • Reduction of risk through well-governed AI and Data to support monetization of AI opportunities at scale
Theme Projects

ODA-enabled Automation realizes REAL benefits

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The AI & Data Theme works with members on how to govern ODA consumer value and regulate AI-enabled applications, keeping costs under control as we scale up to fully automate operations

AI & Data Governance:  The

AI Governance

To meet the need to provide higher quality and richer services in a cost-efficient manner, Communications Service Providers (CSPs) must adopt complex new technologies while simultaneously reducing costs. To do this, the

industry relies on AI to effectively augment and automate decision-making that would overwhelm human operators. It is estimated that by 2025 there will be 30+ billion connections worldwide.

Manual means of assurance cannot scale to satisfy such digital demands.

 Employ TMF AI & Data Governance frameworks and APIs for enhanced safety and compliance, for reduced business risks as an AI-Native Telco

Measuring and Managing Autonomy: Apply Autonomous Operations methodologies to enable Predictive maintenance and self-healing domains to reduce downtime and improve resilience.  

Open Digital Experience: Embed TM Forum Models intrinsically in your enterprise governance engine to maximize the impact of ODA to your stakeholders

The AI & Data Theme works with members to create Products for use in exploiting the full potential from AI today and in the future

AIOps:  Use TM Forum AIOps to support interoperability of your AI Capabilities as well as AI Design and Development, through Deployment and Production, Online Training, Maintenance and Decommission.

AI Closed-loop Automation:  Embed AI and Intent to enable significant operational efficiency, energy cost reduction and ROCI improvements. 

Digital Twin for Decision Intelligence: New 5G ecosystems and services, from autonomous vehicles to sensor data, as well as smart cities and industries, all rely on data.  Leverage sensors, data, and AI to convert data into action - continuously improving operational efficiency. 

The AI & Data Theme works with members on how to unlock our data to increase the power of AI applications

Modern Data Architecture: ODA’s Modern Data Architecture (MDA) aims to break down data silos and democratize data access so that stakeholders running on ODA can improve personalization, customer retention and grow new services. MDA also aims to ensure Operators can scale flexibly and are able to handle the continuous processing of increasing data volumes, responding with real time information updates from the network and IT systems for to AI usecases such as predictive analytics, fault detection, disaster management, climate change, etc.  

The AI & Data Theme works with the ODA for Networks / Autonomous Networks Theme on making AI integral to Telco Operations 

Autonomous Networks: TM Forum’s standards including AI and Autonomous Operations reference architectures and deployment patterns, common ontologies and open APIs for intent‑based closed loop automation help with quick deployment, avoidance of Technology lock-in and connecting AI holistically across autonomous domains – eliminating uncoordinated point solutions and accumulation of technical debt.  Codified information

Given that CSP Business and Operations Support Services (BSS and OSS) architectures typically contain hundreds or thousands of significant components, it is probable that an equal number of AI modules will eventually be deployed within a CSP organization. Managing AI at this scale leads to accountability, audit and maintenance problems. For example, if it is discovered that a data set used to train AI is corrupted, it is natural to withdraw and redevelop all the models affected - but which ones are they, and where are they located? Can the CSP demonstrate to regulators that every model involved has been removed? Can these tasks be performed rapidly and with little cost?

Data Governance

Communications Service Providers (CSPs) can use data to increase personalization, improve customer retention and spot the potential for new services. Data can also be used for predictive analytics, such as fault detection, and help us respond to global pandemics, natural disasters and climate change.

New 5G ecosystems and services, from autonomous vehicles to sensor data, as well as smart cities and industries, all rely on data analysis. Codified information also

powers autonomous operations and artificial intelligence (AI), which are critical as manual assurance cannot scale to meet digital demand.



3.  Project Chairs

This section identifies the team leads, chair and co-chairs.

Note - Please review the Team Roles & Responsibilities RACI here which also indicates which roles are mandatory or optional 

Governance
Projects

Project Team Chairs

Project Manager Subject Matter ExpertComments
AI & Data Governance

Rob Claxton 

Sarah Ness Radek Odrobina 

Stuart Dunn 

Measuring and Managing Autonomy

Emmanuel A. Otchere Rohit Chowdhary 

Alan Pope 

Open Digital Experience

Derek Chen Abinash Vishwakarma 

Stuart Dunn 

AIOps

Luca Franco Varvello Ke Zhang 

Stuart Dunn 

AI Closed-loop Automation

Emmanuel A. Otchere Satishkumar Sadagopan Mathew Thomas 

Alan Pope 

Digital Twin for Decision Intelligence

Luca Franco Varvello Rifat Mahammod 

Stuart Dunn 

Modern Data Architecture

Anthony Behan Cathal Kennedy Ahmed Saady Yaamin Tomas Sadauskas 

Sarah Ness, Radek Odrobina

Stuart Dunn 



4. Roadmap


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