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.
GenAI has the power to connect people with the content they’re looking for, but trust is a considerable hurdle.
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.
Streaming congestion has become overwhelming for TV viewers. Publishers can help streamline their content discovery journeys.
Widespread connectivity notwithstanding, drivers remain enamored with AM/FM radio. On that front, automakers can give them more of what they love.
The desire for next-level infotainment among vehicle owners is unmistakable. Comprehensive entertainment data can help automakers deliver on that desire.
The MCP Server connects LLMs with Gracenote’s knowledge base, ensuring that search and discovery experiences are accurate, recent and complete.
As TV viewers transition to CTV and advertising follows suit, program data and TV schedules provide transparency and scale to addressable advertising.
Centralized infotainment provides a better in-car media experience.
Big media brands are becoming increasingly present across the growing number of FAST channels, and they’re infusing them with an influx of newer programming.