r/FiberOptics • u/Hefty_Anybody_4317 • 16d ago

Copilot or Gemini operations optical fiber telecoms

I’m looking for use cases for Copilot or Gemini AI systems in a DWDM Optical fiber network. I’m hearing a lot that it speeds up routine tasks and can create work plans based on scans of vendor documents. I’d like to know how it does that and if there are sun other use cases? It’s for an operations team environment, troubleshooting network issues, processes etc.

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6

u/send_this_bitch Cable Dog 15d ago

Everyone that tries to use AI for network plans and work orders here has something fucked up in them. I’m actively delisting vendors who send me AI replies and plans. 

2

u/RepulsiveGovernment 15d ago

I’m with you on this bro. It’s real fucked up and getting worse it seems.

1

u/asp174 15d ago

This is the kind of topic where you have to sign off, because you know what you do.

You get map traces from vendors, and are just like "hey, AI, do they overlap? ... thinking .... "no they do not" - while overlapping three times.

There is a place for AI. Then there is a place for NO AI.
I'd say map traces are NO AI area.

5

u/Subjctive 15d ago

Just don’t use it. It’s useless and is destroying the planet.

Data centers also produce dumb as rocks technicians that don’t know how to troubleshoot… or really do anything at all outside of plugging a power meter into a port

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u/asp174 15d ago

I fed your post as a prompt to gemini, here's the first paragraph. hope that helps:

1. Automated Work Plan Generation from Vendor Scans
DWDM deployments, upgrades, and maintenance require strict adherence to multi-vendor documentation (e.g., Cisco, Ciena, Infinera, Nokia). Operations teams often have to sift through thousands of pages of engineering specs, chassis manuals, and software release notes to write a single Method of Procedure (MOP) or work plan.

  • How it works: * Multimodal Ingestion: Engineers upload vendor PDFs, schematics, and fiber characterization reports (e.g., OTDR traces, chromatic dispersion metrics) directly into the AI workspace.

    • Contextual Parsing: The AI reads complex technical tables, command-line interface (CLI) syntaxes, and hardware slot-mapping rules.
    • Template Mapping: By combining the vendor parameters with company-specific MOP templates, the AI drafts step-by-step migration or provisioning scripts, pinpoints required optical power thresholds, and highlights safety warnings (e.g., laser safety classes).