because Radio Access Networks (RAN) isn't getting simpler

Multi-Vendor Variations

Ericsson Nokia Huawei ZTE O-RAN

5G Interop &
RAT coexistence

2G 3G 4G 5G

Interdependent Features

Layering Beamforming NB-IOT Slicing

Varying Demand Profiles

IIoT AR/VR SmartDevices HD-Streaming

Vendor variations, RAT interworking and numerous features combine unpredictably to affect network quality

Systemised analytics for RAN gives clarity

on what truly influences network quality & the business case

Uses RAN AI/ML purposefully

to help humans engineer better

Mastering RAN data analytics

A collaborative training program fuelled by our RAN analytics journey over the last 7 years


RAN Analytics

Why RAN evolution to AI/ML has been so challenging and how a human-centric approach is vital

Practical data science

Understand what drives behaviour in data science and the chances of success will increase considerably

Realise value

through clearly visualised business cases

CAPEX avoidance

Squeeze every last bit of capacity out of your network through machine-guided recommendations

OPEX reduction

Expand the number of RAN use cases that have realisable business value in 75% less engineering time

Revenue through quality

Improve the bottom 25% of the network using analytics to increase overall service quality

powered by human participation