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FAST channels are gaining popularity by combining free access, ad-supported content, and the simplicity of traditional TV viewing.
AI is transforming streaming operations through automated content tagging, metadata creation, scheduling, and promotional clip generation.
Data intelligence enables personalized recommendations, better advertising strategies, and improved viewer engagement across platforms.
The streaming industry has transformed how people consume content, moving from traditional television to on-demand and personalized viewing experiences. In this episode of the Analytics Insight Podcast, host Priya Dialani speaks with Srividhya Srinivasan, Co-founder and Chief Technology Officer of Amagi, about the rise of FAST channels, the role of AI in content management, and the future of streaming.
Amagi is a cloud-native media technology company that helps content creators distribute their content across streaming and OTT platforms, including Netflix, YouTube, Amazon Prime Video, Samsung TV+, and many others. Today, we support thousands of content deliveries across hundreds of platforms worldwide. As the Co-founder and CTO, I drive our technology vision and focus on building AI-first solutions that simplify media operations and create new growth opportunities for our customers.
I believe the biggest reason is convenience. Many viewers do not always know what they want to watch. They simply want to turn on their TV and start watching something interesting without paying for another subscription. FAST, which stands for Free Ad-Supported Streaming TV, offers exactly that. It combines the ease of traditional television with the flexibility of streaming.
One of the biggest challenges is that content is created once but needs to be distributed across many platforms, each with different technical requirements and standards. Audience behavior is also fragmented because people watch content on TVs, mobile devices, and web platforms. Managing all of this manually is difficult, which is why automation has become essential.
AI is helping us automate many complex tasks. It can tag content, generate metadata, analyze viewer preferences, and even create optimized schedules. AI can also identify important moments in content and automatically create promotional clips and highlights. This helps media companies improve efficiency while delivering better viewer experiences.
Data gives us valuable insights into what audiences watch and how they engage with content. Using these insights, we can improve recommendations, optimize advertising strategies, and create more personalized viewing experiences. It allows content decisions to be based on real audience behavior rather than assumptions.
I expect streaming to become far more personalized and AI-driven. The gap between traditional television and digital streaming will continue to narrow. AI will play a bigger role in content creation, distribution, and monetization, while helping media companies operate more efficiently. Ultimately, the future will be shaped by a combination of human creativity and intelligent automation.
