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AI can analyse logs, screenshots, recordings and test timelines to identify likely root causes faster. This reduces manual review time and helps teams resolve playback, DRM, automation and environmental issues more efficiently.
Live TV platforms generate high volumes of automated test results every day. Even a small failure rate can create significant manual effort, especially when engineers need to review recordings, logs and screenshots to understand what happened.
AI can help detect playback errors, DRM licence issues, page load problems, environmental issues, automation errors, data setup problems, false positives and false negatives.
Not entirely. In this case, human validation remains part of the workflow, but AI speeds up investigation by giving engineers clearer evidence, suggested causes and faster access to the right artefacts.
The main benefits include faster root-cause detection, reduced manual effort, improved scalability, clearer failure reporting and quicker issue resolution across high-volume test environments.
The AI-enabled analysis achieved 95% accuracy while processing 350–400 test results per day on average, with the ability to scale up to 600 tests on busier days.
AI can analyse external camera recordings, screenshots and supporting logs to understand what happened during playback, even where DRM restrictions limit direct content capture.
Providing solutions in a unified, structured approach across all critical domains to enable end-to-end quality.
Providing solutions in a unified, structured approach across all critical domains to enable end-to-end quality – Because we’re the only ones who can.
