Boards are funding AI transformations on a network they haven't looked at in a decade
Every enterprise AI roadmap I've reviewed in the last eighteen months assumes connectivity is a solved problem. It isn't. It is the single biggest reason these programs stall in year two, and it is the one the board never asks about.
The board signs off. Eighteen months later, workloads are running in the wrong regions, latency is killing the user experience of a tool nobody benchmarked, and the team is troubleshooting an observability gap they didn't know existed. At which point someone writes a second-stage proposal to fix the network, and the cycle starts over.
This is not a hypothetical. In a recent survey of over 800 global technology leaders, 38% said network performance was a direct factor holding back their AI or digital transformation programs. Only 8% said their networks were ready for what is coming next.
Over half reported revenue loss tied directly to networkfailures in multi-cloud...
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