Google Labs developed NotebookLM, a personalized AI research assistant built with multimodal technology. It helps users efficiently process and organize complex information by synthesizing documents, videos and even books into insightful summaries, identifying key relationships and suggesting follow-up questions. Users can upload up to 50 sources into individual project notebooks. NotebookLM’s Audio Overview feature transforms content into podcast-style discussions with two AI hosts.24CASE STUDY 3 Facilitating access to information via AI-powered summarization and multimodal AI research assistanceOrganizations can use genAI’s conversational interface to analyse, sort and manipulate content in real time and reassemble it in a more engaging format. For instance, producers can provide sport fans with enhanced, immersive experiences using game highlights clips, game summaries and player statistics across multiple platforms.23 In partnership with Intel, the International Olympic Committee (IOC) has introduced cutting-edge AI solutions to transform the Olympic experience for fans, organizers, athletes and viewers across the globe. The Automatic Highlights Generation feature creates personalized highlights for 14 sports to boost audience engagement through AI models trained with Intel Geti AI tools that use the Olympic sports video archive.25CASE STUDY 4 Automating and personalizing sport highlights creation Monks agency revolutionized Hatch’s advertising strategy by overcoming the challenge of costly and time-intensive ad development for their new Restore 2 product. Using genAI tools such as Google Gemini for persona development and the Monks Flow platform, they delivered a personalized, effective ad campaign in unprecedented time. This genAI-powered workflow improved user engagement, resulting in an 80% higher click-through rate (CTR) and 31% better cost-per-action (CPA) and halving production costs.26CASE STUDY 5 Enhancing user engagement via hyper-personalizationGenAI can help enhance content monetization by processing real-time data, such as from live events, to make immediate adjustments that enhance engagement and revenues. During sport events, for example, AI analyses livestreams captured by autonomous drones, and based on these real-time insights on brand visibility, generative-AI-powered agents adjust the drones’ positioning to correct for any overexposure or underexposure, maximizing sponsorship value. GenAI also enables innovative, audience-tailored, dynamic ad formats in real time to create visually engaging assets that offer customers new ways to interact and shop, driving ad performance and higher click-through rates. For instance, in advertising, it allows campaigns to dynamically adapt to target audiences, increasing effectiveness.MonetizationContent/asset management Artificial Intelligence in Media, Entertainment and Sport 12

Artificial Intelligence in Media Entertainment and Sport 2025