In the fast-paced environment of the media industry, manually identifying and categorizing live incidents can cause delays in dealing with critical issues, such as broadcast interruptions or content quality issues. Organizations must adapt quickly to remain competitive, but limited learning abilities hinder the ability to gain “insights” from past incidents and improve future response strategies.
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Wingman is an innovative platform developed to support the monitoring and control of streaming video transmissions. Wingman's main objective is to deal quickly and accurately with incidents during live video broadcasts.
Our expertise lies in providing cutting-edge AI-based support solutions for video service monitoring and incident resolution, specifically designed for the media broadcasting sectors. Through Wingman, we optimize the identification, categorization and resolution of incidents in real time, taking advantage of advanced technologies such as generative AI and the integration of multilingual data.
Our solution can handle high-volume operations, ensuring continuous availability and scalability, even at peak times. By automating workflows, Wingman reduces response times and operational costs while improving the accuracy of complex queries and encouraging collaboration between teams.
Wingman revolutionizes the monitoring of video services by offering support to operators to resolve incidents in a fast, scalable and AI-based way. Its continuous availability reduces response times and reduces costs, making it an indispensable tool for modern media organizations that aim for efficiency and excellence in content distribution.
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