Content streaming services are experiencing exponential growth
- Increasing numbers of subscribers and their daily screen hours are outpacing industry expectations.
- Demand for in home entertainment, availability of high-speed bandwidth and an increasing number of personal devices are driving growth.
- Call center overruns can eat up profits if ignored.
Service Challenge: Predictable Digital Experience
Application failure rates impacting a large number of subscribers floods the contact center and threatens renewals. Delivering on a desirable customer experience often requires more than monitoring and human intelligence can provide. Service providers require automated root cause analysis to provide fast and accurate response and remediation. How can you make it happen?
- Move beyond monitoring and add TOTAL ECOSYSTEM OBSERVABILITY
- Insist on automated root cause analysis to prevent customer service interruption
- Identify issues before they impact service performance and result in unnecessary operational cost
VIA AIOps enables a better Customer Experience
An Over-the-Top Video Service Provider Used VIA AIOps to Improve Their Customers’ Experience
VIA AIOps – End-to-End Service Assurance
Built on an open core foundation – scales to billions of analyzed data points
Observability across service layers supporting fault, performance and change management
Uncovers the how and why of system behavior to enable active response
Advanced anomaly detection with continuous learning delivers faster detection
Frequently Asked Questions and Answers
What is AIOps for content streaming services?
AIOps for content streaming is the use of AI and automation to assure the delivery quality of streamed video. Streaming quality is a chain problem: origin, packaging, CDN, transit, access network and player device all contribute, and a fault in one appears as a symptom in another. AIOps correlates telemetry across the whole chain so that the failing layer is identified rather than inferred.
How does VIA AIOps improve quality of experience for streaming subscribers?
By detecting degradation across the delivery chain in real time and attributing it to a specific layer, so it can be resolved before it becomes a viewing problem. An over-the-top video service provider used VIA AIOps to improve its customers’ experience by correlating across the ecosystem rather than monitoring each component in isolation.
How does VIA AIOps detect streaming issues before subscribers complain?
Through anomaly detection on real-time telemetry combined with knowledge-based correlation. Rather than waiting for a threshold breach or a support call, the platform identifies patterns that historically precede subscriber-affecting degradation and surfaces them as incidents while there is still time to act.
Can VIA AIOps correlate CDN, network and application data together?
Yes — that is the core of the approach. VIA AIOps ingests MELT data directly from across the ecosystem and performs automated topology discovery, so relationships between CDN performance, network conditions and application behaviour are mapped rather than manually configured. Cross-domain correlation is what distinguishes it from per-layer monitoring.
Can it handle peak-event scale?
Streaming demand is not uniform — subscriber numbers and daily screen hours are outpacing industry expectations, and peaks around major content releases and live events are where assurance matters most. VIA AIOps is built on an open core foundation that scales to billions of analysed data points, and runs in production in environments processing petabytes daily.
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