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AI Monetisation
ProjectPro
78 episodes
6 days ago
The AI Monetisation Podcast, hosted by CEO and Co-founder Binny Mathews, brings together leading AI practitioners to share their strategies for leveraging AI to drive tangible business outcomes. Discover real-world insights, innovative approaches, and transformative success stories from industry leaders harnessing AI's power to create measurable impact in their enterprises. Access the full show notes for this episode, including referenced articles, resources, and people mentioned: https://bit.ly/4fmRSn0
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Technology
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All content for AI Monetisation is the property of ProjectPro and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
The AI Monetisation Podcast, hosted by CEO and Co-founder Binny Mathews, brings together leading AI practitioners to share their strategies for leveraging AI to drive tangible business outcomes. Discover real-world insights, innovative approaches, and transformative success stories from industry leaders harnessing AI's power to create measurable impact in their enterprises. Access the full show notes for this episode, including referenced articles, resources, and people mentioned: https://bit.ly/4fmRSn0
Show more...
Technology
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How Is AI Giving Doctors More Time With Patients and Improve Care: Lars Maaløe, Co-Founder of Corti
AI Monetisation
34 minutes 59 seconds
3 months ago
How Is AI Giving Doctors More Time With Patients and Improve Care: Lars Maaløe, Co-Founder of Corti

In this episode of the AI Monetisation Podcast, Lars Maaløe, Co-Founder and CTO of Corti, joined Co-founder Binny Mathews to discuss how AI is transforming healthcare by enhancing doctor-patient interactions and improving clinical outcomes.


Guest Background: A pioneer in applied AI for healthcare, Lars leads Corti’s mission to alleviate administrative burdens on clinicians while improving patient safety. With roots in deep machine learning research and time spent at Apple as an ML researcher, Lars is focused on building healthcare infrastructure powered by cutting-edge language and speech models.


What’s Inside?


  1. AI-driven clinical assistants: Supporting real-time doctor-patient conversations
  2. How Corti’s tech improves patient safety and documentation integrity
  3. Building healthcare-specific LLM stacks from open-source and proprietary models
  4. Using multi-agent architectures for medical coding and guideline compliance
  5. Real-world case studies in emergency medicine and hospital triage


Key Takeaways:


1. Focus on solving real pain points like admin overload and documentation quality

2. AI is most impactful when enhancing, not replacing, human decision-making

3. Domain-specific fine-tuning is critical for trustworthy clinical AI

4. Real-time fact extraction helps clinicians act on insights as they emerge

5. Healthcare AI must prioritize transparency, explainability, and human oversight


This episode is essential listening for AI innovators, healthcare tech builders, and clinical leaders interested in how next-gen AI is giving doctors back their most valuable asset—time with patients.


For full show notes, visit- https://bit.ly/4m3aA7q


ProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing, ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/475jigA

AI Monetisation
The AI Monetisation Podcast, hosted by CEO and Co-founder Binny Mathews, brings together leading AI practitioners to share their strategies for leveraging AI to drive tangible business outcomes. Discover real-world insights, innovative approaches, and transformative success stories from industry leaders harnessing AI's power to create measurable impact in their enterprises. Access the full show notes for this episode, including referenced articles, resources, and people mentioned: https://bit.ly/4fmRSn0