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Frank Defesche Breaks Down the AI Revolution in Pharma (and What Comes Next)

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Manage episode 488405438 series 3647866
Content provided by David Fung and David Samwel, David Fung, and David Samwel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Fung and David Samwel, David Fung, and David Samwel 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 does the future of AI in life sciences really look like—beyond the hype?

In this episode of the AI Trailblazers Podcast, we sit down with Frank Defesche, SVP & GM of Health & Life Sciences at Salesforce, to unpack the seismic shifts happening at the intersection of AI, pharma, CRM, and compliance.

Frank shares insights from decades of leadership—from helping build Veeva, to leading Salesforce's Life Sciences strategy today. We explore how AI agents are transforming engagement models, what life sciences companies can learn from the Takeda partnership, and why now is the moment to rethink the entire CRM experience.

🔥 In this episode:

  • Why the “tolerated” CRM is dead—and what’s replacing it

  • The real use cases for AI agents in pharma and biotech

  • What industry needs to unlearn before innovation can scale

  • How Salesforce is pushing past forms and fields to build trusted, intelligent systems people actually want to use

Whether you’re in commercial operations, medical affairs, or data strategy—Frank offers a front-row seat to how AI is changing the game.

Chapters

00:00 Introduction to Life Sciences Cloud and AI Innovations

03:00 Ensuring Compliance in Life Sciences with AI

05:40 The Importance of Data Quality in AI Applications

08:19 Partnerships and Customer-Centric Innovations

10:37 The Role of the Partner Network in Life Sciences

15:27 Future Disruptions in Life Sciences through AI

19:10 Listening to Customer Needs in Life Sciences

21:28 Conclusion and Future Outlook

  continue reading

9 episodes

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iconShare
 
Manage episode 488405438 series 3647866
Content provided by David Fung and David Samwel, David Fung, and David Samwel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by David Fung and David Samwel, David Fung, and David Samwel 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 does the future of AI in life sciences really look like—beyond the hype?

In this episode of the AI Trailblazers Podcast, we sit down with Frank Defesche, SVP & GM of Health & Life Sciences at Salesforce, to unpack the seismic shifts happening at the intersection of AI, pharma, CRM, and compliance.

Frank shares insights from decades of leadership—from helping build Veeva, to leading Salesforce's Life Sciences strategy today. We explore how AI agents are transforming engagement models, what life sciences companies can learn from the Takeda partnership, and why now is the moment to rethink the entire CRM experience.

🔥 In this episode:

  • Why the “tolerated” CRM is dead—and what’s replacing it

  • The real use cases for AI agents in pharma and biotech

  • What industry needs to unlearn before innovation can scale

  • How Salesforce is pushing past forms and fields to build trusted, intelligent systems people actually want to use

Whether you’re in commercial operations, medical affairs, or data strategy—Frank offers a front-row seat to how AI is changing the game.

Chapters

00:00 Introduction to Life Sciences Cloud and AI Innovations

03:00 Ensuring Compliance in Life Sciences with AI

05:40 The Importance of Data Quality in AI Applications

08:19 Partnerships and Customer-Centric Innovations

10:37 The Role of the Partner Network in Life Sciences

15:27 Future Disruptions in Life Sciences through AI

19:10 Listening to Customer Needs in Life Sciences

21:28 Conclusion and Future Outlook

  continue reading

9 episodes

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