CNN Appoints New AI and Machine Learning Head
Entertainment

CNN Appoints New AI and Machine Learning Head

authorBy Roger Ebert
DateApr 13, 2026
Read time2 min

CNN has recently announced a significant addition to its leadership team, welcoming Chris Wiggins, formerly the chief data scientist at the New York Times, to spearhead its newly formed machine learning and AI science division. This appointment marks a pivotal step in the network's ongoing digital evolution, aiming to integrate advanced artificial intelligence capabilities across various operational facets.

Wiggins's mandate at CNN will involve leading a dedicated team of engineers and data scientists, focusing on leveraging AI to drive business growth and innovation. The team's efforts will be directed towards optimizing advertising and subscriber revenues, crafting bespoke and engaging user experiences, and empowering editorial teams with data-driven insights for content creation and programming strategies. This strategic initiative underscores CNN's commitment to transforming into a premier digital organization, with a strong emphasis on streaming, mobile, and lifestyle content.

Bringing a wealth of experience and academic rigor to his new role, Wiggins previously held the chief data scientist position at the New York Times for over a decade. During his tenure, he pioneered successful projects, including the enhancement of the digital paywall's efficacy through machine learning, the development of AI-powered content recommendation systems, and the creation of innovative AI-driven advertising solutions like BrandMatch. His distinguished career also includes an associate professorship in applied mathematics at Columbia University, complemented by advanced degrees in physics from Columbia College and Princeton University.

The integration of advanced AI and machine learning technologies, guided by experienced leaders like Chris Wiggins, represents a forward-thinking approach to journalism and media. It not only promises to enhance the operational efficiency and revenue streams of news organizations but also paves the way for more informed, personalized, and engaging content consumption for audiences worldwide. This strategic direction highlights the media industry's evolving landscape, where technological innovation is increasingly central to delivering relevant and impactful news in the digital age.

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