Qligent Updates Vision Analytics Platform
Vision Analytics addresses three primary concerns: User engagement, Silent sufferers, and Audience churn.
Qligent updated its Vision Analytics innovation with a fully matured, open platform that harnesses the power of data mining, machine learning and predictive data analytics. Qligent’s updated advanced analytics can improve quality of experience and combat audience churn. The updated version debuted at IBC 2019.
Vision Analytics addresses the “4 Vs” of big data: Velocity, Volume, Variety and Veracity. Its engines leverage scalable cloud processing to manage a nearly limitless number of static, dynamic or event-based datasets to help broadcasters, MVPDs and OTT service providers quickly address issues and take corrective and preventative action.
The software samples video content and aggregates data from a variety of systems and components throughout the ecosystem to understand and correlate the factors that contribute to higher engagement. With a reliable data set, users can develop a host of analysis results, visualizations, and automated reports to suit unique business needs.
“Vision Analytics not only monitors network performance in real-time, but it 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.”
Qligent added several important new features to Vision Analytics for debut at IBC 2019. It added Key Quality Indicators (KQIs) with specific performance parameters for broadband and internet delivery, and service-independent correlation engines to identify and reconcile problems over any delivery network.
It added an intuitive Reports Builder application that allows users to create actionable reports, customizable to each service, and added a refined predictive analytics model to more effectively combat buffering issues for IPTV, OTT and mobile delivery services.
Vision Analytics also added a new Dashboard Constructor for web and mobile devices that allows users more flexibility in adding widgets, graphs and other customized reporting elements meaningful to their operations.
“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 unique deployment of networked and virtual probes creates an end-to-end, controlled data mining environment to produce trusted and secondary opinion datasets within Vision Analytics. The analytics engines are never thrown off by variables, such as operator error, viewer disinterest, or user hardware malfunction, assuring that the integrity and variety of the data is maintained.
All findings are presented on a user-friendly dashboard and reports that summarizes key performance indicators (KPIs), key quality indicators (KQIs), and other vital criteria pertaining to multiplatform content distribution across creation, delivery, and consumption.
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