For public and private network operators, the old adage, “you can’t measure what you can’t see”, has traditionally been addressed with vendor- and equipment-specific systems and tools.
These network equipment management systems (NEMS) each provide data on the performance of an individual network device. Operations personnel are left to paste together the disparate data to obtain a complete picture of network operations well after the fact.
Quality of Service (QoS) tools may come to the rescue. These are designed for operators to see the overall performance of a network service – say video or voice – across the network.
Today, forces are coalescing into the need for a very different and even more holistic picture of network performance:
For these reasons, talk of QoS is evolving to a newer concept: Quality of Experience (QoE). QoE is a measurement of the satisfaction (or dissatisfaction) of a customer’s experience of a service (e.g. streaming media, enterprise VoIP calls, or an underground private LTE network).
QoE shifts focus to the perceived quality of using a network versus the statistical facts of the network’s operation.
This is the problem Cheetah Networks solves with our ARTINA™ AI-driven network analytics engine and PulseView™ Solution. ARTINA ™ gathers and correlates real-time analytics from anywhere in a network and delivers the intelligence to PulseView™. The PulseView™ user interface delivers – on a single pane of glass – real-time visualizations of edge-to-cloud network performance in a QoE score for applications and services.
Both private and public network operators, business leaders, network users, and other stakeholders use the PulseView™ Solution to quickly visualize and act on this knowledge of the QoE experienced by people, machines, and applications connected to the network.
Contact us to elevate your network with AI and ML hard at work for you within your complex networks.