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Ritvvij Parrikh: Personalization Vs. Editorial Judgment? At The Times of India, You Can Have Both

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Manage episode 446496853 series 3465295
Content provided by Nikita Roy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nikita Roy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

Sign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy.


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

65 episodes

Artwork
iconShare
 
Manage episode 446496853 series 3465295
Content provided by Nikita Roy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nikita Roy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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

Sign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy.


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

65 episodes

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