Blog

The transition to DOCSIS 4.0 was supposed to be straightforward. Instead, operators are facing 52-week lead times, supplier bottlenecks, and a shortage of RPDs. Here is how predictive procurement can help.

How Gearbox uses Weibull accelerated failure time models to predict line card and optic failures 90 days in advance, with confidence intervals that procurement teams can act on.

Emergency orders cost 3x the standard price on average. But the real cost is the operational disruption. A look at the data and how to break the cycle.

How Gearbox uses differential privacy and federated learning to build industry-wide failure models without exposing any single operator's network topology.

A tier-1 MSO was managing $200M in annual hardware spend with spreadsheets. Here is how they moved to a platform approach in 90 days.

You do not need to be a network engineer to understand OpenConfig. Here is what procurement teams need to know about the data that powers predictive hardware lifecycle management.