08 Apr Artificial Intelligence versus Human Technician Monitoring: The Future of QoE is Automated

In the fast-paced world of streaming and broadcasting, delivering exceptional Quality of Experience (QoE) is no longer optional. It’s a necessity for viewer retention and brand reputation. While human monitoring has been the traditional approach, it’s time to embrace the future: AI-driven automation.

The Limitations of Human Touch

Let’s face it: human monitoring is the dinosaur in the room of QoE assessment. It’s a slow, lumbering process that often spots issues long after viewers have rage-quit your stream. Subjectivity and bias sneak in like uninvited guests, making consistent quality benchmarks as elusive as a unicorn. And the costs? They’re stratospheric. Trying to scale human monitoring for round-the-clock coverage across thousands of streams is like attempting to fill the Grand Canyon with a teaspoon. The result is a perfect storm of delayed problem detection, reactive troubleshooting, and viewer satisfaction that’s about as stable as a house of cards in a hurricane. In today’s cutthroat streaming landscape, clinging to human monitoring isn’t just outdated. It’s a surefire recipe for digital disaster.

Enter AI: The Game-Changer in QoE Monitoring

Enter the game-changer: AI-driven, no-reference QoE monitoring solutions. These digital dynamos are leaving traditional methods in the dust, revolutionizing the industry faster than you can say “buffer.” Picture a tireless sentinel, constantly analysing your streams with eagle-eyed precision, catching distortions before your viewers even blink. But it’s not just about cold, hard tech, this AI has the intelligence to understand how your audience truly experiences content, serving up insights that matter. It’s like having a crystal ball for your streams, predicting and preventing QoE issues by crunching historical data and real-time patterns with superhuman speed. And forget those vague, yawn-inducing reports of yesteryear. This AI dishes out detailed, data-driven insights that let you

fine-tune your entire delivery pipeline on the fly, turning your streaming service into a lean, mean, quality-delivering machine. Welcome to the future of QoE monitoring, where AI doesn’t just raise the bar, it launches it into the stratosphere.

Video-MOS: The Future of QoE Monitoring, Now

Video-MOS exemplifies the power of AI in QoE monitoring. It’s not just an upgrade; it’s a complete paradigm shift:

24/7 Automated Vigilance: Software probes that never tire, ensuring no quality issue slips through the cracks.

• Psychovisual Brilliance: Advanced neural networks that understand the difference between an artistic choice and a technical glitch.
• Cloud-Powered Scalability: Deploy across any platform without breaking a sweat.
• Proactive Problem-Solving: Predict and report issues before they impact your viewers. It’s like having a time machine for QoE.

The Business Case: Why Automation is Non-Negotiable

Embracing AI-driven monitoring isn’t just a smart move, it’s a game-changer for survival and growth in the cutthroat streaming industry. By leveraging advanced QoE monitoring, you can skyrocket viewer retention, keeping your audience glued to their screens with seamless experiences. Studies show that users who experience buffering are three times more likely to abandon a video, but with AI-powered solutions, you can slash buffering rates and keep viewers engaged.

This translates directly to maximized revenue: better streaming quality means higher ad viewability and happier subscribers. In fact, a mere 1% increase in buffering time can decrease viewer engagement by over three minutes during high-stakes live events, highlighting the critical link between quality and monetization. Moreover, consistently delivering top-notch experiences builds an unshakeable brand reputation. With 90% of viewers leaving a stream after just two buffering events, ensuring flawless delivery is crucial. By prioritizing QoE through AI monitoring, you’re not just improving metrics, you’re crafting a loyal audience base that views your brand as synonymous with quality, setting the stage for long-term success in the competitive streaming landscape.

The Bottom Line

The shift from human to AI-driven QoE monitoring isn’t just a trend, it’s the future of the industry. As content demands explode and viewer expectations skyrocket, platforms that leverage cutting-edge solutions like Video-MOS will lead the pack.

Video-MOS is the leading company in automated MOS monitoring of the viewer’s experience of audiovisual content (Quality of Viewer Experience, QoE) through the analysis of the distortions detected in the content.

Its solution is based on AI probes, deployable on any content (whether broadcasting, streaming or VoD file), provides the broadcaster, television station, content producer and/or aggregator, video platform, advertiser, etc., with a real-time interface to monitor their content.

It is a powerful complementary solution to the usual hardware-based solutions that simply measure signal quality (Quality of Service QoS). In this way, it allows monitoring in real time 7x24h, all the video channels of the content operators automatically, guaranteeing knowledge of the circumstances in which even with a correct signal quality (QoS), the viewer experiences a poor quality of experience (for example, pixelation, blur, etc.). The solution is accompanied by alarms and reports that facilitate a forensic practice never seen before for technical staff.