Without proper grounding, large language models aren’t able to deliver accurate search and discovery results for TV viewers.
The centralized broadcast experience of the 2026 World Cup will be fragmentation free for U.S. sports fans—an attribute that may change with future tournaments.
Learn why CTV spending is growing, yet remains overshadowed by investments earmarked for traditional TV.
Sports distribution across global SVOD providers now eclipses 38.5k programs.
The broadening CTV landscape opens a wealth of advertising opportunity that sits well outside of national upfront deals.
Advertisers see the potential of CTV, but they’re hesitant to reallocate budget from linear TV because of a lack of information.
LLMs are far from perfect, and in the world of entertainment, they think they know more than they actually do.
Case study: Mexican beer brand Dos Equis successfully scaled a niche live sports strategy in CTV with zero waste.
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.
Bad data is a real threat. LLMs are powerful tools, but they are only as good as the information they can access.