...
At their hearts, telecoms are technology companies driven by the need to scale their networks to service millions of users, reliably, transparently and efficiently. To achieve these ambitious goals, they need to optimize their networks by incorporating the latest technologies to feed our connected world's insatiable appetite for ever more bandwidth. To do this efficiently, the networks themselves need to become more intelligent. At the end of 2021, over 2.5 years ago, LFN published its first white paper on the state of intelligent networking in the telecom industry. Based on a survey of over 70 of its telecom community members, the findings pointed to a still nascent Some of the tools needed include artificial intelligence (AI), machine learning (ML) and artificial intelligence operations (AIOps). This document will explore what intelligent networking means to telecoms, vendors and customers, and how AI and ML technologies and tools can be used, the cultural shifts the industry needs to make it a success, and what to bear in mind when deploying machine learning across a telecom network.nascent field made up of mostly research projects and lab experiments. The survey did highly the keen interest that the telecom industry had in the topic.
Fast forward to 2023 when at the request of the LFN Governing Board and Strategic Planning Committee the AI Taskforce was created to coordinate and focus the efforts that were already starting to bubble up in both new initiatives (Thoth) and within existing projects.
Key Deliverables and Governing Board Requests
- How to create and maintain public Networking data sets for research
and development of AI applications? (Ranked #1 in GB member survey) - What are some feasible goals (short term) in creation of AI powered
Network Operations technologies - Evaluate existing Networking AI assets coming from member company
contributions - Analyze generic base AI models and recommend creation of Network
specific base models (Ranked high in GB member survey)
The LFN (Linux Foundation Networking) End User Advisor Group (EUAG) is publishing this document to identify and highlight the latest thinking and recommendations for building and supporting intelligent networking and the tools needed to achieve it. It will touch on the state of automation and adoption of intelligent networking tools by telecom operators. This is a new area for many in the telecom industry, so the focus will be on the requirements, tools and approaches that have been deployed, and some potential futures for intelligent networking and AI/ML tools. Some of the topics covered will include:
...