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Madhu Ramamurthy on Balancing AI Innovation With Responsible Governance

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Manage episode 522677630 series 2943650
Content provided by Metis Strategy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Metis Strategy 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://podcastplayer.com/legal.

What’s stopping AI from scaling across the enterprise? For Madhu Ramamurthy, CIO of Zurich North America, it’s not the technology. It’s the culture.

In this episode, Madhu shares how he’s navigating the paradox of AI: a tool with unprecedented potential, surrounded by institutional resistance, unclear regulations, and cultural misalignment. He outlines Zurich’s approach to responsible AI deployment, organizational change, and ethical tech use.

Key highlights include:

  • How “organizational antibodies” can kill innovation before it scales
  • The case for explainability and governance in AI development
  • Why domain expertise is more valuable than tech fluency
  • Building AI-native teams outside of legacy systems
  • Madhu’s warning on digital flattery and sycophantic AI
  continue reading

304 episodes

Artwork
iconShare
 
Manage episode 522677630 series 2943650
Content provided by Metis Strategy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Metis Strategy 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://podcastplayer.com/legal.

What’s stopping AI from scaling across the enterprise? For Madhu Ramamurthy, CIO of Zurich North America, it’s not the technology. It’s the culture.

In this episode, Madhu shares how he’s navigating the paradox of AI: a tool with unprecedented potential, surrounded by institutional resistance, unclear regulations, and cultural misalignment. He outlines Zurich’s approach to responsible AI deployment, organizational change, and ethical tech use.

Key highlights include:

  • How “organizational antibodies” can kill innovation before it scales
  • The case for explainability and governance in AI development
  • Why domain expertise is more valuable than tech fluency
  • Building AI-native teams outside of legacy systems
  • Madhu’s warning on digital flattery and sycophantic AI
  continue reading

304 episodes

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