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1. Project Information
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* indicates that this field is required
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2. Project Overview / Executive Summary
| Mission | TM Forum’s AI Closed Loop Automation project is helping the industry deploy and manage AI at scale by reducing risks within and between different organizations. It provides a blueprint on how to deploy AI operations by redesigning and reengineering operational processes to support AI, as well as a framework and toolset for governing AI operations at scale. It empowers service providers to get more intelligence from their data, allowing better decision making. |
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| Value | As a member of the AI Closed Loop Automation project, you and your organization are able to contribute to and build the thought leadership, guide books, best practices and standards that shape the future for digital business in any industry. |
| Strategy | Bring the AI Driven Closed-loop anomaly detection and error correction architecture to life. |
3. Participants
This section identifies the project team members.
* indicates that this is a required field or role.
| Role | Name* | Company* | Confluence “@” mention | Comments |
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| Project Team Lead* | Emmanuel A. Otchere Mathews Thomas Satish Sadagopan | Huawei Technologies Co. Ltd IBM Corporation IBM Corporation | ||
| Collaboration Manager | Alan Pope | TM Forum | Alan Pope | |
| 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
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Sprint 2023-2
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Sprint 2023-3
Sprint 2023-4
Sprint 2023-5
Sprint 2023-6
5.Project Backlog
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6. Legal Notice
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