The IDAA Hub Podcast: AI in Finance & Healthcare

Join IDAA Hub as we explore the cutting edge of AI adoption in finance and healthcare. Each week, we bring you conversations with innovators, founders, and industry leaders who are transforming these critical sectors with artificial intelligence. From startup success stories to enterprise implementation strategies, we decode the complexities of AI integration and showcase products making real-world impact. Whether you're a healthcare executive, fintech founder, or AI enthusiast, discover actionable insights on building, scaling, and deploying AI solutions that matter. Hosted by Deepti & Deepak this is your gateway to the future of intelligent healthcare and finance

The IDAA Hub Podcast: AI in Finance & Healthcare is a technology podcast hosted by IDAA Hub, with 21 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

IDAA Hub hosts The IDAA Hub Podcast: AI in Finance & Healthcare, a technology show with 21 episodes published.

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  The IDAA Hub Podcast: AI in Finance & Healthcare

  Besides time, what turns a startup into a $500 million category leader?

  Aug 4, 202613 min

  In this episode, I trace Aidoc's full story to find the real answer: the mission-driven (not tech-driven) reason they picked radiology and what turned them into a $500 million category leader. Connect with Host Host Deepti Kalghatgi: https://www.linkedin.com/in/deepti-kalghatgi/ the COVID-era crisis that made their work urgent, the platform pivot that came straight from a customer complaint, the specific investor moment that unlocked their biggest funding rounds, and why they've pulled so far ahead of that same-year competitor. What we cover: Why Elad Walach says there was no single "aha moment" — and what actually drove the founding The real, independently studied impact of AI on COVID-era imaging backlogs (a 30% cut in report turnaround time) aiOS: the platform decision that turned Aidoc from a vendor into infrastructure Why four health systems investing their own capital mattered more than any VC check Aidoc vs. Viz.ai — same founding year, two very different bets Three lessons for anyone building or buying clinical AI today Sources: Authority Magazine, BackTable Industry Podcast, Alantra Podcast (Elad Walach interviews) Fierce Healthcare, Radiology Business, MedCity News, Healthcare Dive, Ctech/Calcalist, Tech Funding News Axis Imaging News (Moscow Center for Diagnostics & Telemedicine, ECR 2021) Philips 2025 Future Health Index CB Insights, Docus.ai, MytheAi Got a startup you think belongs in this series? Reach out — I read every message. Connect with IDAAHub Follow us on: LinkedIn: https://www.linkedin.com/company/idaahub/ YouTube: https://www.youtube.com/@IDAAHUB Spotify: https://open.spotify.com/show/3V8Vuhqkibej5fUwtwkUMx Apple Podcasts: https://podcasts.apple.com/us/podcast/the-idaa-hub-podcast-ai-in-finance-healthcare/id1848710327

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  The IDAA Hub Podcast: AI in Finance & Healthcare

  Two Playbooks: Go Broad or Go Niche — Who Wins? | Tempus AI vs. Valar Labs

  Jul 21, 202616 min

  Two companies chasing the same mission — getting the right cancer treatment to the right patient — with two completely opposite playbooks. One raised $1.3 billion to build an empire. The other ships FDA-recognized diagnostics with a seven-person engineering team. So which way should a startup go: broad or niche? And who actually wins? Connect with Host Host Deepti Kalghatgi : https://www.linkedin.com/in/deepti-kalghatgi/ Visit: https://idaahub.com In this episode of the Innovation & Startup Series, we unpack Tempus AI and Valar Labs — how each was built, how each grew, and three lessons any founder can borrow. Tempus, founded by Groupon co-founder Eric Lefkofsky after his wife's cancer diagnosis, went all-in on owning the whole stack — genomics, clinical data, labs, and AI — and now does over $1.27B in annual revenue. Valar Labs went the opposite way: one sharply focused question — will this treatment work for this patient? — answered by running AI over routine pathology slides that already exist, built by seven engineers who optimized everything for one thing: speed of iteration. We dig into why capital intensity drives the broad-vs-niche decision, why data is the real moat (and the two ways to win it), and why fast iteration toward validated evidence beats a perfect initial design. What you'll learn: How Tempus and Valar chose broad vs. niche — and the role capital played Why proprietary data is the moat, whether you generate it or unlock it Why speed of iteration is the quiet engine behind both companies How a seven-person team out-ships rivals many times its size Sources & further reading: Valar Labs — "5 Years, 7 Engineers, No Cloud": https://www.valarlabs.com/engineering/7-engineers Valar Labs — $22M Series A: https://www.valarlabs.com/news/series-a Tempus AI: https://www.tempus.com If you enjoyed this, follow the show and share it with someone building in healthcare or AI. Connect with IDAAHub Follow us on: LinkedIn: https://www.linkedin.com/company/idaahub/ https://www.youtube.com/@IDAAHUB https://open.spotify.com/show/3V8Vuhqkibej5fUwtwkUMx https://podcasts.apple.com/us/podcast/the-idaa-hub-podcast-ai-in-finance-healthcare/id1848710327

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  The IDAA Hub Podcast: AI in Finance & Healthcare

  What Cost Would You Put on the Care That Saved Your Son?

  Jul 16, 202611 min

  A team of doctors saved Atul Gawande's infant son. In that moment, he says, every one of them deserved a million dollars. The actual bill was $250,000. He paid $5. 📧 Connect with Host Host Deepti Kalghatgi : https://www.linkedin.com/in/deepti-kalghatgi/ 🌐 Visit: https://idaahub.com That single moment opens up one of healthcare's biggest unanswered questions: how do we actually decide what medical care is worth? In this episode, I trace how physician pricing evolved — from ancient piecework fee schedules, to the 1980s Harvard formula that tried to put a number on "how much work" a surgery takes, to the 1929 Dallas hospital plan that quietly became the blueprint for American health insurance. I also pull in ideas from Atul Gawande's writing on performance and diligence in medicine, and close with a few open questions I'm still sitting with — including whether AI can actually be the innovation that brings costs down. In this episode: 00:00 – Why we're asking this question 00:45 – The piecework problem 02:30 – Trying to make pricing "rational" 04:15 – Where insurance came from 05:45 – It's not just pricing — it's performance 07:30 – The war nobody wins 08:15 – Closing thoughts and open questions If you work in healthcare, health tech, or health finance, I'd love to hear your take on the questions raised in the episode — drop a comment. 🎙️ Part of the IDAAHub Podcast — Innovation & Startups series #Healthcare #HealthTech #MedicalCosts #HealthInsurance #AtulGawande #HealthcareInnovation #AIinHealthcare #IDAAHub

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  The IDAA Hub Podcast: AI in Finance & Healthcare

  Abridge — From AI Scribe to the Operating System for Medicine

  Jun 25, 202617 min

  In this new Innovation & Startups series, we break down Abridge — one of the fastest-growing AI startups in healthcare today. 📧 Connect with Host Host Deepti Kalghatgi : https://www.linkedin.com/in/deepti-kalghatgi/ 🌐 Visit: https://idaahub.com We cover the real founding story (it started with a cardiologist, a patient, and one sentence about dignity), how Abridge grew faster than long-standing incumbents like Nuance, what just happened with Abridge's Nvidia and Eli Lilly partnerships, and why this isn't really a scribe company anymore — it's trying to become the operating system for how care gets delivered and paid for. We close with three takeaways every startup founder can learn from Abridge's playbook: why being first to market matters less than being first to solve the real problem, why credible partners can matter more than features, and why trust has to come before product in healthcare AI. 🎙️ Topics covered: The real Abridge origin story Why Abridge grew faster than Nuance Abridge's Nvidia + Eli Lilly partnership news 3 startup lessons every founder should know 📧 Connect with IDAAHub Follow us on: LinkedIn: https://www.linkedin.com/company/idaahub/ https://www.youtube.com/@IDAAHUB https://open.spotify.com/show/3V8Vuhqkibej5fUwtwkUMx https://podcasts.apple.com/us/podcast/the-idaa-hub-podcast-ai-in-finance-healthcare/id1848710327

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  The IDAA Hub Podcast: AI in Finance & Healthcare

  Who Owns Your Health Data? LLMs, Data Access & Venture Capital with Dr. Timothy Martens (Part 2)

  Jun 2, 202624 minS0

  <p>15 years ago, getting your medical records meant visiting the hospital, signing forms, and walking out with a photocopied stack of 5,000 pages. Today you can import the same data into an LLM and ask it what's wrong with you. That shift — and everything in between — is what Part 2 of this conversation is about.<br/><br/>In this episode, IDAAHub Podcast host Deepti continues her conversation with Dr. Timothy Martens — congenital heart surgeon at Northwell Health, Director of Data Strategy & Innovation at Cohen Children's Medical Center, PhD in Biomedical Engineering, and General Partner at Picap Fund — picking up at the question of patie...

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