AI in Media:
How to make every frame,
ad, and interaction smarter

The surge in streaming, digital content and audience expectations has made AI essential for personalization and real-time engagement. Yet, many media companies struggle to move beyond early AI adoption due to data silos, slow analytics and outdated architectures.

Without a real-time, scalable data foundation, organizations risk disengaged audiences, missing revenue opportunities and ultimately falling behind competitors in an industry where seamless experiences are a non-negotiable.

So, how can media companies turn AI into a business advantage rather than a costly, technical challenge?

Participants joined us for an exclusive roundtable discussion where we explored:

• AI-ready data strategies that enhance content personalization, ad performance and customer satisfaction
• How to overcome data bottlenecks to unlock AI-driven operational efficiency
• The role of real-time data in improving ad inventory yield, dynamic audience segmentation, and engagement outcomes
• Lessons from media leaders who have successfully scaled AI applications

AI isn’t just a tool for content creation — it’s about delivering seamless, data-driven experiences that keep audiences engaged and your business profitable. Participants learned how the right data strategy can help them turn AI’s potential into measurable outcomes that drive a lasting impact for their organization.