QoE overtakes QoS as AI exposes network experience gaps
The article discusses the transition from Quality of Service (QoS) to Quality of Experience (QoE) in networks, highlighting the discrepancies between network performance metrics and actual user experience. It implies that artificial intelligence will play a role in bridging this gap, ensuring networks deliver more than just connectivity.
Key Takeaways
- QoS is giving way to QoE as the more relevant measure of network performance.
- The article says network metrics can diverge from real user experience.
- AI is presented as part of the answer to closing that QoS-to-QoE gap.
- The piece frames the issue as an industry trend, not a vendor-specific product launch.
Why It Matters
The immediate takeaway is that network operators are being judged on user experience, not just connectivity metrics. That raises the bar for streaming and other video applications, where QoE is the difference between a clean dashboard and a frustrated viewer. The article also ties this shift to AI, implying that automation and inference will be used to detect and respond to experience gaps. What to watch: whether QoE becomes a standard metric in network and video application reporting, rather than just an engineering concept.
Read full article at msn.com
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