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 LTIMindtree, 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?
“Most often, drop-off happens because of the overall site experience. It’s not necessarily the content that they’re reading; it’s the number of calls to action that you have on your website.”Sanjay Bhakta, Chief Products and Technology Officer, Condé Nast
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. 
“It’s not the content—it’s the experience that’s causing churn. Personalizing and creating an engaging user experience will continue to be exceptionally important.”
— Sanjay Bhakta, Condé Nast
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.
“You can create customer segments in a way that you couldn’t before… dynamically updated based on real-time behavior.”
— Lisa Jaeger, Partner, Simon-Kucher & Partners
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.
“Media companies are thinking about how to do everything very profitably... But making major investments into content discovery is going to be largely a function of financial positioning, and whether or not they think it’s the right thing to do given the litany of other corporate priorities.”
