Here’s a newly upgraded product that’s designed to help broadcasters understand and correlate factors that contribute to higher audience engagement.
It’s from Qligent, which is enhancing its second-generation cloud-based service using AI, machine learning and “big data” to mitigate content distribution matters. Foresight, says Qligent, provides real-time 24/7 data analytics based on system performance and user behavior.
“Foresight uses the data you already have in your plant, plus some new data that you can gather from end user devices, for predictive analysis,” said Lang Cooksey, Product Manager, Qligent. “It’s vital to understand how network outages and other technical issues cause problems all the way through to the customer, for example. We’re trying to help stop silent sufferers from leaving your service, and predict and prevent customer churn.”
Qligent Foresight aggregates data points from end user equipment – including set-top boxes, smart TVs, and iOS and Android devices – as well as CDN logs, stream monitoring data, CRMs, support ticketing systems, network monitoring systems, and other hardware monitoring systems.
Using scalable cloud processing, its integrated AI and Machine Learning provide automated data collection; learning technology mines data from layers of data. Big Data technology then correlates and aggregates the data for real-time, cloud-based quality assurance, helping service providers quickly address distribution issues.
Customizable reports summarize key performance indicators (KPIs), key quality indicators (KQIs), and other criteria for multiplatform content distribution. All findings are presented on Qligent’s intuitive and flexible dashboard, accessible from a computer or mobile device.
“We can look into IT asset management systems and say, ‘We noticed that the last time a product like this exceeded its warranty, these specific technical problems were resolved through replacement,’” Cooksey added. “This added level of business intelligence can pay dividends for the content or service provider.”