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Don’t Fear the Regulator: Marilyn McDonald on Turning Constraints into AI Strategy

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Manage episode 474828145 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://ppacc.player.fm/legal.

In this episode of AI Trailblazers, we sit down with ⁠Marilyn McDonald⁠—product leader, Moderna alum, and co-founder of ⁠Yokai Labs⁠—to unpack how the best AI strategies in healthcare are often born from tight regulatory constraints.

Key takeaways:

✅ How Moderna scaled its COVID response

✅ Why compliance isn’t a blocker—it’s a design opportunity

✅ How to build AI that solves “the stuff that sucks”

✅ The magic wand test: why every AI project should start with a real human problem

Marilyn brings a rare blend of product discipline, AI insight, and real-world healthcare experience. If you work at the intersection of innovation and regulation, this episode is for you.

🔗 Learn more about Marilyn’s work:🎧 Podcast: ⁠Practical Product Management⁠💼 LinkedIn: ⁠Marilyn McDonald⁠🌐 Company: ⁠Yokai Labs⁠

Episode Chapters:

00:00 – Intro: AI, Product Thinking & Regulated Innovation

02:05 – Scaling Moderna’s COVID Response

06:50 – Starting with the Problem (The Magic Wand Test)

10:30 – Don’t Fear the Regulator: Turning Constraints into Strategy

14:45 – AI and Product Design: Solving the Stuff That Sucks

19:10 – Building with Unstructured Data vs. Data Warehouses

22:00 – Final Takeaways: Design, Trust & Human-Centered AI

24:40 – Outro: Where to Find Marilyn McDonald

  continue reading

6 episodes

Artwork
iconShare
 
Manage episode 474828145 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://ppacc.player.fm/legal.

In this episode of AI Trailblazers, we sit down with ⁠Marilyn McDonald⁠—product leader, Moderna alum, and co-founder of ⁠Yokai Labs⁠—to unpack how the best AI strategies in healthcare are often born from tight regulatory constraints.

Key takeaways:

✅ How Moderna scaled its COVID response

✅ Why compliance isn’t a blocker—it’s a design opportunity

✅ How to build AI that solves “the stuff that sucks”

✅ The magic wand test: why every AI project should start with a real human problem

Marilyn brings a rare blend of product discipline, AI insight, and real-world healthcare experience. If you work at the intersection of innovation and regulation, this episode is for you.

🔗 Learn more about Marilyn’s work:🎧 Podcast: ⁠Practical Product Management⁠💼 LinkedIn: ⁠Marilyn McDonald⁠🌐 Company: ⁠Yokai Labs⁠

Episode Chapters:

00:00 – Intro: AI, Product Thinking & Regulated Innovation

02:05 – Scaling Moderna’s COVID Response

06:50 – Starting with the Problem (The Magic Wand Test)

10:30 – Don’t Fear the Regulator: Turning Constraints into Strategy

14:45 – AI and Product Design: Solving the Stuff That Sucks

19:10 – Building with Unstructured Data vs. Data Warehouses

22:00 – Final Takeaways: Design, Trust & Human-Centered AI

24:40 – Outro: Where to Find Marilyn McDonald

  continue reading

6 episodes

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