AI Innovations in Testing and Monitoring: How Machine Learning is Transforming Testing and Monitoring On Real Devices

Artificial intelligence (AI) has emerged as a pivotal tool for video service providers in ensuring an exceptional quality of experience (QoE) for their end-users. Machine learning (ML) neural networks currently enable content providers to enhance encoding and compression for video-on-demand (VOD) assets. However, evaluating live and linear content remains challenging without a reference stream. This paper explores an innovative methodology to assess video quality from the user’s perspective on physical devices. This approach mirrors human interaction through AI and computer vision to detect defects. Extensive testing of third-party applications using this technique can increase customer retention for video services. With rapid advancements, AI has the potential to transform video quality assurance.

Yoann Hinard | Witbe | New York, N.Y., United States