Using Advanced Analytics, AI, and Machine Learning to Mitigate Risk in the Modern Broadcast Environment
The Challenge Facing Modern Broadcasters
As virtualization transforms the media industry, video workflows are intersecting in new ways every day, allowing for agile, cost-effective business models and the ability for content owners to monetize content across more platforms. With vast amounts of data being transmitted across increasingly complex supply chains, broadcast workflows have become more difficult to manage, and problems are harder to diagnose. As media organizations connect more on-prem and cloud resources together—equipment from different vendors, sources from other business units and partner organizations—and distribute to new device types, there is an ever-expanding amount of log and telemetry data. Most of this data gets ignored. Why? Broadcast engineers have more information than they can effectively process, and they often silence alerts and alarms because they are just too frequent. It can be impossible to tell what is and isn’t important, and too often that leaves them in the dark, just hoping for the best.