Internet traffic is dominated by three phenomena: Video, Gaming, and Social Sharing. Each one of these phenomena is multi-headed, with multiple traffic types contributing to overall consumption behavior, but all a part of the overall user experience. Network operators that understand the phenomena and can measure it can build, optimize, and monetize their network to deliver the highest level of quality while achieving maximum profitability. Each phenomena requires unique use cases to provide analytics, optimize the network, and create innovative services, as well as to automate network actions based on the phenomena-specific classifications and quality of experience (QoE) key performance indicators.
Sandvine’s portfolio of Automation use cases leverage Sandvine’s unique actionable QoE-centric network intelligence, contextual awareness, targeted machine learning models, and policy enforcement capabilities to deliver outcome-based solutions for network operators. All of these use case outcomes are visually monitored in Sandvine’s Active Network Intelligence Portal, and demonstrate significant return on investment for the customers that have deployed these automation-based solutions.
Our machine learning models dissect our network intelligence by identifying patterns, extracting trends, and detecting anomalies in real-time or historically (depending on the use case). These models have been tested in customer networks, and learns your network when installed, which optimize our actions and results.
For more information on our Automation use cases, click here.