“Wasn’t it your mother that said you should learn to walk before you run?”
Jonathan Hobday, Sales Director, has been speaking with Mark Newman, Chief Analyst, from TM Forum, to discuss the reality of Artificial Intelligence and Intelligent Machines.
With all the market noise surrounding AI, it is often difficult to separate AI fiction from AI fact, and the fact is “whilst AI press makes all the noise and many outlandish claims, the quiet revolution that is really transforming operations has accelerated less noticed”. The stories that induce fear, shock and awe into the masses about the “robot revolution” tend to overrule some of the real strides “using the less sensational, and more realistic, machine intelligence combined with dynamic process orchestration, known as Intelligent Automation”.
There are many differences between AI and Intelligent Automation, with AI being defined by Forbes as “the science of training systems to emulate human tasks through learning and automation”. Firstly, “AI is typically numerical analysis applied in discrete mathematics”, therefore some would argue it is more of “an engineering discipline than a science”. Secondly “the words emulation and learning do not sit comfortably in the same sentence, in the same sense as learning by rote is more emulating than learning”.
Whereas Intelligent Automation is “the application of analytical and decision systems to take actions to achieve predictable outcomes”. However, a similar conclusion can be drawn between the two, as Forbes predicts “Trust will play perhaps a larger role in the evolution of AI than it has for technology in recent memory”.
Read the full discussion here: https://inform.tmforum.org/archive/2018/12/reality-artificial-intelligence-intelligent-machines/
The Cortex Intelligent Automation platform has been deployed to assist Telco’s and CSP’s across a wide range of use cases. From self-healing networks and service provisioning, to network testing and diagnostics, the Cortex results have included 99.997% service accuracy, tripled revenue, reduced cost of delivery (physical infrastructure NOCs) without losing headcount.