Qligent has updated its Vision Analytics product for IBC2019 with an open platform based on data mining, machine learning, and predictive data analytics. Vision Analytics is intended to address user engagement, silent sufferers, and audience churn.
Vision Analytics is designed to address the "4 Vs" of big data: velocity, volume, variety and veracity. Its engines leverage scalable cloud processing to manage large numbers of static, dynamic or event-based datasets to help broadcasters, MVPDs and OTT service providers address issues and take corrective and preventive action. The software samples video content and aggregates data from a variety of systems and components throughout the ecosystem to identify and correlate the factors that contribute to higher engagement. Users can develop analysis results, visualizations, and automated reports to suit individual business needs.
"Vision Analytics not only monitors network performance in real time, but leverages machine learning and other data science technologies to predict conditions that, left unchecked, could sour viewers on the media brand," said Ted Korte, CTO, Qligent. "Users will know which events cause viewers to become disengaged and how to keep track of subscribers by merging quality of experience with Qligent's true end-to-end technology. This gives service providers a powerful prevention-oriented toolset, as well as cloud-based quality assurance across every distribution network out to each viewer's home and mobile device."
New features include:
- Key Quality Indicators (KQIs) with specific performance parameters for broadband and Internet delivery
- Service-independent correlation engines to identify and reconcile problems over any delivery network
- A Reports Builder application that allows users to create actionable reports, customizable to each service
- A new Dashboard Constructor for web and mobile devices that allows users to add widgets, graphs and other customized reporting elements
- An upgraded predictive analytics model to combat buffering issues for IPTV, OTT and mobile delivery services
"Collectively, these new features and applications simply make things faster, better and easier for our customers by ensuring that the actual data used for analysis is more trustworthy," said Korte. "Vision Analytics puts the power back in the hands of our customers, and helps them prevent problems from happening at the first signs of trouble."
Qligent's deployment of networked and virtual probes is designed as an end-to-end, controlled data mining environment to produce trusted and secondary opinion datasets within Vision Analytics. The analytics engines are designed to account for variables, such as operator error, viewer disinterest, or user hardware malfunction. All findings are presented on a dashboard and reports that summarize key performance indicators (KPIs), key quality indicators (KQIs), and other criteria pertaining to multiplatform content distribution.