Multimodal AI 101 for CTV

What it is, how it works, and why it’s reshaping the future of advertising

Connected TV (CTV) is the fastest growing major channel for marketers, with growth led by increasing audience adoption and ad spend that's projected to reach $48 billion by 2028.

Multimodal AI changes this by analyzing scenes like a human would — simultaneously processing visuals, audio, captions, and metadata to deliver precise, privacy-compliant targeting at scale.

You will learn:
  • Why multimodal AI is setting a new standard for contextual advertising in CTV

  • How multimodal scene-level analysis works to generate contextual understanding and precise targeting much like a human would – at scale

  • How multimodal AI expands upon traditional brand safety practices to reach new audiences through brand suitable content

  • Real world applications and success stories of multimodal AI at play in CTV

  • Six emerging trends that will shape the future of contextual intelligence

As privacy regulations evolve and viewership fragments across platforms, multimodal AI creates a win-win-win: advertisers connect with audiences more effectively, publishers maximize the value of their content, and viewers experience more relevant ads that enhance rather than interrupt their viewing experience.

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