The ability to monitor, in real time, stream analytics gives enterprises a way to extract business value from data that is effectively in motion. On external facing streams, this might mean using these metrics to help further bolster attendance through promoting real time statistics on social networks such as noting impressive viewership volume. Going beyond what historical analysis could offer, this gives organizations the ability to inspect and analyze data in order to quickly respond to enhance performance or “right the ship” if the video content is not performing to expectations.
While IBM Watson Media has long had an impressive array of real-time analytics, this week the cloud platform expands with a new console that allows enterprises to monitor live stream content to an incredibly granular degree. This includes tools to investigate issues to support real-time decision making, such as validating how widespread buffering issues might be and check the overall stream health. This use case can help determine if a report of a viewer experiencing buffering issues is an isolated problem associated with the viewer’s connection or if it points to a larger problem possibly due to connection issues at the broadcaster’s side. The new console offers a wealth of use cases and increased ways to understand stream performance, from the ingest to delivery side. It also includes a visual and user interface update to the live stream analytics console as well, marking an overall update to the live metric capabilities of the IBM Cloud Video platform.
Read on to learn more about the real time monitoring and analytic features available to leverage live data regarding video channels. Also be sure to check out our Live Video Delivery System Built for Scalability white paper, which gives insights into the delivery method used at IBM Watson Media to better understand the data presented in the live monitoring console.
