Making AI Pay Its Way in News
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Join Juan Carlos Lopez Calvet from Schibsted Media for a practical deep dive into their data-driven approach to AI in newsrooms. Through real-world examples, he’ll unpack how they decide on AI projects – from writing assistants to predictive analytics – and measure what actually works. As Schibsted embarks on their newly announced OpenAI partnership, Calvet will share the strategic thinking behind this next chapter in their AI journey. Learn how this Nordic media leader balances innovation with impact, turning AI possibilities into newsroom realities.
Date: 12 March 2025 (Wed)
Time: 12:00 CET
Moderator:
Ezra Eeman | WAN-IFRA AI Expert
Ezra Eeman is the Director of Strategy & Innovation at NPO, the Dutch Public Broadcaster. Ezra has almost 20 years of experience in media, innovation and journalism. Previously he was Change Director at international media company Mediahuis, responsible for coordinating newsroom transformation and digital acceleration. He worked as the Head of Digital, Transformation and Platforms at the EBU, The European Broadcasting Union and before that was head of an innovation lab and journalist at VRT, the Flemish public broadcaster.
Speaker:
Juan Carlos Lopez Calvet | Director of Data & AI, Schibsted News Media
As Director of Data & AI at Schibsted Media, Juan Carlos leads the charge in transforming the future of journalism through innovative data-driven strategies. His work focuses on harnessing the power of AI and responsible data usage to create products that resonate with millions of users. With over two decades of experience in the tech industry, Juan Carlos has a deep understanding of how data can shape business decisions, drive growth, and create opportunities for media organizations to thrive in the digital age. His leadership at Schibsted has been pivotal in leveraging AI to push the boundaries of modern media and deliver smarter, more personalized experiences for readers.
The webinar will be held in English on Zoom. A link will be sent to registered participants ahead of the event.
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