DPP Podcast – The ‘Human in the Loop’ Approach

Balancing the Art and Science of Media Tech AI/ML Implementations.

Listen to the podcast and hear the answers to burning questions:

• What is the most significant challenge facing broadcasters and content rights holders today and how can they best address it?
• What are the essential factors for building strong vendor-customer relationships in product development?
• Why are bottom-up change management and early engagement of end users crucial to successful project outcomes?
• What approach is most effective for ensuring successful machine learning product deployments?
• What can you learn from feeding over 700 parameters into a model to predict audience engagement and content performance?
• How does a human-in-the-loop approach with explainable AI contribute to fast return on investment and high user adoption?

Extract:

Nick Moreno: “Is content commissioning an art or a science? These represent two ends of the spectrum. In the past, content commissioning was largely considered an art. Commissioners relied on their knowledge of the audience, gut feelings, and perhaps a pilot show with some audience feedback to make decisions. Today, hundreds, if not thousands, of data inputs can scientifically help us understand what audiences might like. While this is too much for any one person to fully grasp, the debate over the balance between art and science in commissioning continues. Every broadcaster or commissioner will likely have a different perspective on this balance. It certainly can’t be 100% art or 100% science. It’s crucial to allow professionals—content commissioners—to adjust this balance depending on their situation, the context they’re in, the broadcaster they work with, and the market they face. I believe AI and ML can offer an additional “quiver of arrows” to help refine what was once a purely art-driven approach to commissioning.”