AI and ML in Networking

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Artificial Intelligence (AI) and Machine Learning (ML) are the next big hype in networking following Software-Defined Everything and Intent-Based Everything. Like with the previous hype bubbles it’s worth figuring out

  • How much of the hype is real (TL&DR: not much)?
  • Whether the technology is ready to be used in production networks (TL&DR: some of it)
  • How you could use the technology to make your life easier

How Real Is It?

Like with the previous hype tsunamis I’ll do my best to help you figure out the answers to the above questions with a hefty dose of skepticism and snark1, starting with:

I also decided to “kick the tires” and document my (often less-than-stellar) experience with the most-overhyped products:

AI/ML in Networking: The Good, the Bad and the Ugly

Javier Antich created a wonderful AI/ML in Networking in 2021. If you know nothing about AI/ML and wonder whether you should care about it, you MUST watch these videos from his webinar:

In 2023, Javier published a book covering the same set of topics in way more details. I would highly recommend you read it if you want to know more.

What Others Are Saying

I keep collecting interesting articles talking about AI in general and (lately) ChatGPT. I found these interesting enough to mention them in worth reading blog posts:

These are not bad either:

Finally, a few real-life uses of large language models:

Blog Posts I Forgot to Categorize

  1. Please don’t blame me for pointing out the ever-lasting validity of Sturgeon’s law. Contrary to what some people think, I’m not trying hard to pick up dismal examples of AI failures, I’m just good at looking in the wrong places. Also, I’m too old to be wearing rosy glasses and drinking Kool-Aid. ↩︎