Practical leaps forward have turned the technology of machine learning into a great new source of commercial advantage for telcos.
Hungry telcos will drive the development of RAFM toward the scientific management of risk. Do North American telcos have the appetite to lead, or will change come elsewhere?
Continuing the series on the RAFM issues brings us to the widespread desire to turn RAFM practitioners into professionals, and the obstacles lying in the way.
There are two awards: telcos who innovate in risk; and individuals who contribute to our community.
The UK could set a global precedent by using the Proceeds of Crime Act to confiscate money made from telecoms fraud, but only if telcos show their support.
So-called ‘fraud expert’ Daniel Flöckinger has doubled down on calling himself an imposter by promising to engage a lawyer to fight the conspiracy which has ‘damaged his name’.
The Olympic sprint champion can inspire us to succeed, even if we remain out of the spotlight.
The second in a series to define and rank some key RAFM issues covers the seemingly intractable problem of training.
We need new models for exchanging interconnection data to reflect the security, privacy and quality priorities of IP networks.
Kaspersky Labs have published their Threat Intelligence Report for the Telecommunications Industry.