Solve RAN's most difficult engineering problems
through RAN configuration analytics
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
NSA & SA
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
1
Mastering RAN data analytics
A collaborative training program fuelled by our RAN analytics journey over the last 7 years
2
RAN Analytics
Why RAN evolution to AI/ML has been so challenging and how a human-centric approach is vital
3
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