AI & Live Streaming: Automation & Analytics at Streaming Media 2025

The integration of artificial intelligence and machine learning is fundamentally reshaping live streaming workflows, offering unprecedented levels of automation and analytical insight. Industry leaders are set to explore these advancements at Streaming Media 2025, where practical applications and real-world benefits will take center stage. This panel promises to deliver actionable strategies for improving stream reliability and operational efficiency, moving beyond theoretical discussions to focus on technologies that are already delivering measurable results.

Bhavesh Upadhyaya, a seasoned expert with the Streaming Video Technology Alliance, will moderate the session. His extensive background includes key roles at major organizations like Warner Bros. Discovery and Verizon Digital Media, where he focused on streaming operations and quality of experience. Upadhyaya emphasizes the value of this discussion for professionals responsible for platform performance, noting that attendees can expect practical insights that eliminate months of experimentation.

Sayyad Mohammed of Evertz brings a unique perspective on balancing automation with human oversight. He advocates for a hybrid approach where AI handles repetitive tasks to boost efficiency, while creative and editorial decisions remain under human control. This model ensures that broadcast workflows become more streamlined without sacrificing quality or flexibility.

Magnus Svensson from Eyevinn Technology highlights how AI is driving tangible improvements in live production and monitoring. He points to predictive analytics and automated systems as tools that directly enhance streaming reliability and viewer satisfaction. For Svensson, the real value lies in implementing scalable solutions that work in today’s fast-paced media environment.

Corey Smith, now with TATA Communications, brings experience from his time at Paramount and CBS Sports, where he led cloud-based production initiatives. His work focuses on the technical evolution of broadcasting, particularly how next-generation encoding and distribution benefit from intelligent automation.

Juan Pablo Saibene, CEO of Qualabs, observes that AI is rapidly transitioning from experimental to operational within live streaming. He notes the growing use of anomaly detection, capacity optimization, and forecasting models, tools that not only predict issues but also reduce operational costs. Saibene also highlights the emergence of AI-driven monitoring services, which allow smaller broadcasters to access sophisticated analytics without heavy engineering investment.

A key challenge, according to Saibene, is demonstrating clear return on investment for AI initiatives. However, he stresses that data serves as the essential foundation for any successful AI implementation. When applied strategically, these technologies empower human teams rather than replace them, freeing up staff to focus on innovation and critical decision-making.

Doug Daulton, producer of the Future Frames podcast and founder of Tortu, discusses how AI accelerates content repurposing and audience engagement. He describes tools that generate clips and promotional material in hours instead of days, enabling smaller teams to compete at an enterprise level. Daulton envisions a future where live streaming becomes more interactive, blending storytelling, gaming, and real-time participation in entirely new ways.

This session is designed for anyone involved in streaming operations, technical management, or content delivery. Whether part of a large network or an independent producer, attendees will leave with concrete ideas for implementing AI-driven improvements in their own workflows.

Registration for Streaming Media 2025 is currently open, offering a significant discount with code VIPSTR. This is an opportunity to learn from pioneers who are actively deploying AI to enhance live streaming performance, reduce costs, and create more engaging viewer experiences.

(Source: Streaming Media)