Ericsson says telco-grade AI RAN must deliver measurable gains at scale
Ericsson just drew the line between pilot theater and production AI in telecoms.
Their RAN AI framework pins accountability to three measurable outcomes: energy efficiency, network capacity, user experience. Not 'AI-powered optimization' — actual watts saved, actual cells offloaded, actual complaint reduction.
This is the same conversation we have with regulated enterprises: compliance auditors and operations leaders don't care about model accuracy. They care whether the agent reduced fraud loss, cut review time, or met SLA. If you can't trace the agent's output to a business metric, you're still in the lab.
The deck walks through Ericsson's framework and what it means for any company deploying agents at scale.
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