AI/ML in Broadband Networks: the Role of Standards

Earlier this year a new initiative to create standards for artificial intelligence (AI) and machine learning (ML) in the cable telecommunications industry was launched.

The working group, which draws members from both inside and outside of cable including giants like IBM, is exploring how AI and ML can be leveraged to make the network more efficient.

Using machine learning to solve this challenge, an algorithm considers multiple variables including service load and cost to provide an actionable and prioritized report for the cable operator to act on.

By applying ML to automate node splits, the network will run more efficiently, and customers will continue to receive their high-speed services without interruption as the network grows.

The working group is also looking at creating standards to control video piracy by applying artificial intelligence on the network that detects signatures of bad actors.

Initial findings indicate that video piracy can be significantly diminished with this use of AI.

The development of a standard for this application would provide incredible benefits for content creators, streaming services, and film production companies, among others.

Benefits like these emphasize the importance of having technology experts from outside of the cable industry collaborating with cable experts on these working groups.

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