NYT Cooking isn’t just a recipe database— it’s a lifestyle product, positioned with editorial depth, high-frequency utility, and personalization that is built on trusted editorial expertise, and its product team is now exploring how to extend that authority into AI-powered tools that make cooking more useful and intuitive. In this session, NYT Cooking product leaders will share how they are incorporating human expertise into AI features such as ingredient metric conversions and recipe scaling. The discussion will highlight the challenges of training AI with structured and unstructured data, the importance of guardrails to preserve brand trust, and the opportunities ahead as publishers look to responsibly apply AI to enhance—not replace—the consumer experience.

PBS used generative AI to make its digital video catalog more discoverable.  Originally developed as a proof of concept by PBS Digital's Innovation Product Team using AWS Bedrock + Claude, AI read the transcripts and created words to describe the video.  The output (subgenres, moods, themes, and topics) has now been rolled into search and recommendations on PBS apps helping viewers find desired content more quickly and efficiently. Now the team is looking to expand the effort into the PBSKids and PBSLearningMedia video catalogs. 

MLB uses its award-winning digital technology to immerse fans in our game like never before. Using our proprietary Statcast data and best-in-class tech, MLB set about finding new and innovative ways to connect fans to our game. Gameday 3D, Data Visualizations, Augmented Reality and Enhanced Broadcasts reach fans around the world. This transforms a single electrifying moment on the field to a seamless fan journey. Our mission is to deepen engagement by turning millions of data points into compelling narratives, creating more identified, loyal fans and driving a new era of growth for the league.

In an era of endless information, the future of news isn't about personalizing stories for each subscriber, but changing how everyone experiences it. The Wall Street Journal's audience-first strategy is building products and tech capabilities to cater to individual consumption habits. Imagine your morning news briefing ready in audio form for your commute, a deep-dive video waiting for you at your lunch break, and a scannable text version for when you only have five minutes. This isn't about creating different headlines; it's about delivering the same trusted journalism in a format that seamlessly integrates into your life. This keynote takes you inside WSJ’s newsroom as it works alongside its tech and product teams to move beyond a one-size-fits-all model to ensure you get the news you need, the way you want it.

This session will look ahead and explore AI's potential to reshape storytelling by enabling a shift from fixed narratives to adaptive, data-driven experiences. From the concept of liquid content—modular, responsive storytelling that changes based on audience and context—to how fluid interfaces might redefine how stories are created, delivered, and consumed. The future with AI is not just about new tools, but a new way of thinking about narrative, data, and engagement.

How We Used AI, Games, and Community to Deepen Engagement and Grow Subscriptions for Vogue

One of the most iconic fashion media brands, Vogue is redefining what it means to more meaningfully engage audiences. In this session, Clementine Levingston, the Senior Director of Product for Loyalty and Engagement at Vogue, will share how they are leveraging AI to personalize content discovery, deploying livestreaming to bring high-fashion moments to audiences, and cultivating loyal communities that drive subscription growth. Attendees will gain insights into how Vogue blends storytelling, technology, and user experience to convert fandom into paying subscribers—while maintaining the editorial integrity and brand prestige that define its legacy.