首页|University of Twente Reports Findings in Artificial Intelligence (An empirical a ssessment of the use of an algorithm factory for video delivery operations)
University of Twente Reports Findings in Artificial Intelligence (An empirical a ssessment of the use of an algorithm factory for video delivery operations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning - Artificial Int elligence is the subject of a report. According to news originating from Ensched e, Netherlands, by NewsRx correspondents, research stated, “Video service provid ers are moving from focusing on Quality of Service (QoS) to Quality of Experienc e (QoE) in their video networks since the users’ demand for high-quality video c ontent is continually growing. By focusing on QoE, video service providers can p rovide their subscribers with a more personalized and engaging experience, which can help increase viewer satisfaction and retention.” Our news journalists obtained a quote from the research from the University of T wente, “This focus shift requires not only a more sophisticated approach to netw ork management and new tools and technologies to measure and optimize QoE in the ir networks but also a novel approach to video delivery operations. This paper d escribes the components, interactions, and relationships of an algorithm factory for video delivery operation that assures high QoE for video streaming services . The paper also showcases the results of gradually implementing an algorithm fa ctory in the video industry. Using a dataset from 2016 to 2022, we present the c ase of a European PayTV service provider that achieved improved performance meas ured by both objective and subjective metrics. The use of an algorithm factory s ignificantly improved the PayTV service provider’s performance. The study found a fivefold increase in the speed of critical incident resolution and a 59% reduction in the number of critical incidents, all while expanding the customer base and maintaining the same level of labor resources. The case also demonstrat es a strong positive relation between the productivity measures of the PayTV ope rator and their survey-based quality ratings. These results underscore the impor tance of flawless QoS and operational excellence in delivering QoE to meet the e volving demands of viewers. The paper adds to the existing literature on relatio nships between operational efficiency, innovation, and subjective quality. The p aper further offers empirical evidence from the PayTV industry. The insights pro vided are expected to benefit both traditional and over-the-top (OTT) video serv ice providers in their quest to stay ahead in the rapidly evolving video industr y.”
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