VIA AIOps provides customer experience assurance while decreasing operating costs.
VIA sees more with total ecosystem observability and its explainable AI provides automated root cause analysis and automated remedial actions that can easily be checked and verified by human operators. Through automated learning of dependencies and service ontology, VIA AIOps correlates service failures to application, network or infrastructure failures, providing your customers experience assurance.
Know about service impacting issues before your customers report a problem.
The customer service experience is fragile. Service delivery teams need the power of analytics and automation to get ahead of service interruptions. Despite an abundance of monitoring, its not possible for isolated functions to determine the root cause of service impacting issues. That’s why more companies are choosing VIA AIOps. Reduce the noise and get to actions faster.
VIA transforms billions of signals from real-time data streams to a manageable number of actionable incidents. By correlating anomalies across all layers of the service delivery, VIA AIOps reduces the noise by separating symptoms from the root cause and identifies the potentially impacted population of customers. The uniqueness of VIA Beacons allows for this massive scale.
Introducing VIA Beacons
Granular Impact Analysis

See service problems and know which customers are feeling the impact. VIA Beacons trigger secondary analysis across the connected ontology to uncover root cause and identify the related impact zone.
Today, there is no shortage of device and application managers in isolated silos, monitoring and spewing tens of millions of signals, creating a deafening noise.
VIA Beacons detect granular issues across the din of signals, enabling your team to act faster. Beacons provide the impact analysis you need to identify customer populations impacted by anomalies across the service delivery infrastructure.
In The News
- Why IT Automation Needs AI — And How To Implement It January 26, 2021
- The Collaboration Gap: Productivity, Technology And The Modern Enterprise December 29, 2020
- Architecture of the Customer Experience December 2, 2020
- Doing The Right Things: Effective IT Depends On AIOps November 20, 2020
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