How Machine Learning and Artificial Intelligence Improve the Efficiency of Video QoE Monitoring and Troubleshooting: Introducing Nala 2.0
Originally Aired - Monday, April 15 | 3:30 PM - 3:50 PM PT
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A. The new data-driven video ecosystem and the challenges of dealing with the data explosion required to ensure a superior QoE to protect user satisfaction and engagement.
B. Why the solution lies in AI analytics tools and what these tools can help with.
C. How NaLa, NPAW's second-generation AI companion app, works and addresses the aforementioned issues in detail: key features (almost instant root cause identification, natural language interactions, intuitive interface) and key benefits (analyze vast amounts of data and solve issues before they impact the user base, uncover insights your own way with a flexible interface, and empower each team member, regardless of data expertise to be a data champion).
D. Demo of NaLa 2.
In the fast-paced, highly competitive world of video streaming, data is the new name of the game. Not even the most talked-about content can save a platform from buffering, crashes or poor video quality. That's why streaming providers need to monitor every factor impacting the viewer experience to protect perceived quality, a task that's leading to an exponential increase in data volume and diversity. This explosion of data is creating a fresh set of challenges. Navigating through mountains of information to obtain actionable insights has become an overwhelming task, leading to missed opportunities and delays in resolving critical issues.
Enter Artificial Intelligence.
AI-powered analytics tools like NPAW’s second-generation NaLa allow stream operators to analyze vast amounts of data intuitively and quickly. NaLa streamlines error root cause identification, enabling quick issue resolution to prevent an impact on the user base. This helps operators improve the quality of experience, save resources and spot untapped opportunities regardless of data expertise or familiarity with the NPAW analytics platform.
In this session, NPAW will tell you how.
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