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Cut Through the Noise. Connect with Your Audience.
In today’s media landscape, content overload costs companies billions in lost revenue, disengagement, and churn. While consumers spend over 10 minutes deciding what to watch, traditional recommendation engines aren’t really keeping up.
This Harvard Business Review Analytic Services report, sponsored by LTM, explores how AI is redefining the discovery experience. It includes:
What frustrates users today?
Why do the current recommendations of engines fail?
How are AI-driven personalization, automation, and metadata reshaping discovery?
Strategic Takeaways
Personalization = Retention
Hyper-personalization through AI allows media companies to build real-time, dynamic viewer profiles, offering content suggestions that resonate with individual preferences, behaviors, and moods.
AI is Now Core Infrastructure
Leading media companies are embedding AI deep into their tech stacks to enhance everything from content tagging and recommendation engines to dynamic thumbnails, voice search, and targeted advertising. AI helps identify not just what content is engaging but also when and how to present it to maximize interaction.
Responsible AI Builds Trust
As AI scales, governance is essential to ensure transparency, privacy, and fairness.
Successful AI programs require ethical design, user trust, and compliance with privacy and IP regulations.
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