1. Project Information
2. Project Overview / Executive Summary
| Mission | TM Forum’s AI Operations (AIOps) project is helping the industry design, develop, deploy, operate and maintain AI systems & components at scale by reducing risks and ensuring the effectiveness of the investment in AI. It provides a blueprint on how to manage AI operations by redesigning and reengineering operational processes to support AI, as well as a framework for governing the E2E AIOps lifecycle. It empowers service providers to incorporate AI driven solutions in their organisations safely and effectively. |
|---|---|
| Value | Enabling members to adopt the best practices and standards supporting the massive deployment of AI across the Telecoms industry, allowing operations to utilize AI efficiently. |
| Strategy | The focus of this work is the analysis & assessment of the development and operations processes to identify gaps and challenges and define principles and guidelines for the reengineering of those processes in order to prepare them to manage and govern large deployments of AI systems and AI components in CSPs operations environments. The end goal of our journey is to enable and drive the transformation of traditional operation into AI driven operations. |
3. Participants
This section identifies the project team members.
* indicates that this is a required field or role.
| Role | Name* | Company* | Confluence “@” mention | Comments |
|---|---|---|---|---|
| Project Team Chairs* | Luca Franco Varvello Nitin Mishra | Huawei Technologies Ltd. Nokia | ||
| Project Manager | Stuart Dunn | TM Forum | ||
| Subject Matter Expert | Dave Milham | TM Forum | Dave Milham |
4. Project Workstreams and Deliverables
The project workstreams and deliverables for this project are introduced in the sections below.
Sprint 2023-1
Sprint 2023-2
Sprint 2023-3
Sprint 2023-4
Sprint 2023-5
Sprint 2023-6
5. Project Backlog
6. Legal Notice
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