Sean Kinney

Accelerating telco AI adoption often hinges on how easy the technology is for the user to consume in service of business-specific goals.

What if the issue of public cellular network coverage and availability of private networks could be solved in a holistic manner?

Demand forecasting and anomaly detection are AI capabilities that Google sees as accelerating numerous additional use cases.

CommScope sees market opportunity, TCO, ecosystem support and convergence all making the case for in-building Open RAN

Open RAN technology is proven and operators are committed, but the lingering questions around integration costs and lifecycle management in a multi-vendor network remain

The RIC can support quick wins but further standardization, and a more coherent approach to AI/ML integration, is needed to foster trust Back to this idea r ...

End-to-end fronthaul testing, as well as isolation testing, provide the big picture and granular data needed to drive Open RAN adoption Given one of the pri ...

Did Open RAN deliver on the technological and market-based promises it was meant to bring to? Tough question. And what were those initial promises again? We went back through the O-RAN Alliance archives to a

Appledore Research sees private 5G pulling $232 billion in annual enterprise spend by 2027 There was maybe always a disconnect between what the telecoms set ...

To understand the commercial reality of cellular connectivity, in this case 5G, it’s important to understand the standardization work that set the stage for ...