LLMs are far from perfect, and in the world of entertainment, they think they know more than they actually do.
In order for enterprise LLMs to provide the next-gen content experiences they have the ability to, access to trusted, industry-specific data is paramount.
The way people search for information is changing, but without the right data, AI will simply confirm that it can’t be trusted.
RAG and MCP each address the limitations of LLMs, but they approach the issue in fundamentally different ways.
Streaming viewers have become overwhelmed by choice and fragmentation. This sentiment is mounting, and it has a range of downstream effects.
Viewer frustrations are on the rise as streaming service congestion increases, highlighting opportunities for improved UX and content discovery.
Streaming congestion has become overwhelming for TV viewers. Publishers can help streamline their content discovery journeys.
The desire for next-level infotainment among vehicle owners is unmistakable. Comprehensive entertainment data can help automakers deliver on that desire.
Centralized infotainment provides a better in-car media experience.
In FAST, user experience becomes the primary value proposition to drive both differentiation and long-term business success.
Descriptive metadata is the key to delivering personalized content experiences.
Is ‘Die Hard’ a Christmas movie? The metadata behind the 1988 Bruce Willis-led movie helps answer this popular annual debate.