Ritvvij Parrikh: Personalization Vs. Editorial Judgment? At The Times of India, You Can Have Both
Newsroom RobotsShow Notes
Ritvvij Parrikh, Senior Director of Product at Times of India, joins host Nikita Roy to discuss how AI-powered personalization is transforming news distribution and why newsrooms need to rethink their approach to revenue optimization.
Parrikh, who leads product development at India's largest English-language news organization, discusses their innovative approach to news personalization that increased click-through rates by 85% on web and 40% on mobile. His team developed a proprietary recommendation system that automatically optimized content distribution for individual readers. As an industry thought leader, Parrikh has been instrumental in demonstrating how newsrooms can build AI systems that balance editorial judgment with reader preferences while maintaining journalistic integrity.
Key topics include: Building newsroom-specific recommendation systems that understand news cycles The critical importance of real-time data infrastructure for modern newsrooms Why newsrooms should master focus on building the operational infrastructures to power AI
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