AI and Data
Helping public service media leverage the potential of AI and data
Artificial intelligence (AI) and data are central themes for public service media (PSM) today, especially when it comes to strengthening and personalizing relationships with its citizens.
Well-adapted big data strategies can help PSM organizations in many different ways including understanding cross-platform audiences, creating powerful data journalism stories, enhancing the audience experience, boosting content creation via data-driven editorial production and programming, streamlining business processes, and identifying new products and services to offer.
The AI and Data Initiative is a cross-disciplinary strategic EBU initiative driven by Members. It aims to help public service media tap into the potential of AI and data.
The EBU is committed to supporting its Members in the field of audience measurement. Towards this end, our Media Intelligence Service (MIS):
Our Key Challenges publication explains, in non-technical language, the main challenges that EBU Members’ audience researchers and data analysts are facing, or are likely to face in the future. It also provides guidance for top management to mitigate challenges and explore data to its full potential. You can learn about other EBU projects related to audience measurement on pages 14-15.
AI and Machine Learning (ML) rank among the main drivers of innovation in the media industry, and their impact could be immense. How can public service media leverage the potential of Artificial Intelligence? This event addressed strategists, technologists, engineers and developers and will focus on practical use-cases.
Explore how AI is changing the media landscape and discover to thrive in it.