In the competitive OTT landscape, delivering an exceptional video Quality of Experience (QoE) is crucial for user satisfaction and retention. This session will explore how data-driven approaches can transform the way QoE is monitored, analyzed, and optimized. The talk will delve into the key metrics that define QoE, including startup time, buffering frequency, bitrate quality, and playback interruptions. By leveraging real-time analytics, machine learning, and predictive modeling, OTT platforms can proactively identify and resolve issues before they impact the user experience. Attendees will gain actionable insights into: Designing scalable data pipelines for QoE monitoring. Using predictive analytics to anticipate and mitigate streaming disruptions. Optimizing encoding and delivery processes to reduce latency and improve video quality. This session is ideal for data engineers, OTT platform architects, and video delivery professionals looking to elevate their platform’s user experience through the power of data.

This session explores how AI agents are transforming data engineering by automating complex workflows such as data ingestion, transformation, and pipeline orchestration. With real-time analytics and intelligent decision-making becoming critical, AI-driven automation is enabling greater efficiency, scalability, and accuracy in data processes. From automated anomaly detection to schema evolution and performance optimization, discover practical use cases that showcase the power of AI in simplifying and future-proofing data engineering strategies. Ideal for data engineers, architects, and AI enthusiasts, this talk offers insights into leveraging AI agents to reduce operational overhead and stay ahead in the era of intelligent automation.