How Agentic AI is Adding to Personalized Content Discovery

Key Points: Agentic AI is a powerful application of AI, one that combines LLMs, RAG (Retrieval-Augmented Generation), and increasingly, LAMs (Large Action Models) at scale and now shows traction in media and entertainment. Agentic AI consists of AI agents: one that...

Why Generative AI Won’t Replace Recommendation Engines

Due to the increase in AI tools and their availability over the last few years, Google Cloud found in 2024 that nearly two-thirds of media and entertainment organizations are actively using generative AI. This high adoption rate indicates that GenAI is no longer just...

Efficiency and Discovery: The Key Themes of IBC 2025

IBC always highlights the opportunities and challenges within the industry; this year was no different. Here’s our take on what themes stood out for us during the four days in Amsterdam. Discovery is Clear From production to workflows to user-facing experiences,...

Partner Spotlight: Evergent

Know the predictors of retention, not just churn When it comes to churn prediction, it’s not only important to know when your subscribers might leave but also why they might stay. This information can help service providers leverage users to stay with the content they...

The Role of Super Aggregation in Solving Streaming Fragmentation

With an ever-growing number of OTT services competing for audience attention, the need for aggregation has never been more urgent. Streaming promised viewers exceptional choice and control. Yet this instead created a new challenge, content overload. The average...

How much time are your users wasting searching?

Beyond Standard Search: Why TV Platforms Need Advanced Discovery to Retain Subscribers The traditional approach to content discovery on TV platforms is quickly becoming obsolete. As streaming services multiply and content libraries expand exponentially, standard...