Guest: Jean Macher (LinkedIn)
Company: Harmonic 
Show Name: An Eye on AI
Topic: Machine Learning

Artificial intelligence (AI) has been shaping video delivery for years, but its newest applications are redefining how streaming platforms compete for attention. For Harmonic, AI isn’t just a backend tool—it’s a frontline enabler of efficiency, engagement, and monetization.

Machine Learning for Adaptive Streaming

Jean Macher, Sr. Director of Global SaaS Solutions at Harmonic, explained that the company has long used machine learning to optimize video compression. By modeling the human eye, Harmonic’s algorithms deliver adaptive streaming that is far more efficient than constant bitrate delivery. “You can bring better quality for your users while reducing storage and delivery costs,” Macher noted. This approach ensures that streams scale smoothly across devices and bandwidth conditions.

Generative AI for Engagement and Monetization

What’s new is Generative AI (GenAI). By generating fresh content—whether it’s additional languages or real-time sports highlights—streaming platforms can keep audiences engaged. “We are using AI to come up with highlights related to live sports in real time, so that people can quickly catch up with the start of a game and then watch the rest live,” Macher explained.

This strategy is especially valuable in ad-supported tiers, where engagement directly impacts revenue. For younger audiences, who are more likely to “snack” on social media instead of watching long-form streams, AI-driven highlights and enhancements keep them connected to the platform.

By combining traditional ML with emerging GenAI, Harmonic is helping media companies increase efficiency, retain audiences, and unlock stronger monetization models—particularly in high-value live sports.