AI and Big Data transform digital entertainment personalization

Digital entertainment platforms are increasingly utilizing artificial intelligence and big data to manage massive content catalogs and personalize user experiences. As the volume of available online content grows, services must implement intelligent filtering systems to prevent choice overload from becoming an obstacle for users.

Netflix has demonstrated this evolution by integrating generative AI into its workflow. Approximately 300 films and series distributed in 2026 utilized generative AI tools, primarily during the post-production phase, to reduce processing times and costs without replacing creative authorship. This marks a shift from AI being used solely for analytical recommendation systems to playing a role in actual content production.

Other platforms, such as Spinboss, leverage big data to analyze user behaviors—including time spent on pages, visit frequency, and device types—to organize content more effectively. By identifying recurring patterns in millions of interactions, these systems can predict user preferences, such as specific music genres favored at certain times of day, making the digital experience more seamless and relevant.