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Autonomous Health Podcast
Welcome to the Autonomous Health Podcast, where we have conversations with academics, researchers, entrepreneurs and investors at the intersection of bringing AI and machine learning(ML) to healthcare and wellness.
About Your Host:
Anmol Madan is an entrepreneur, computer scientist, and executive who has been leading the digital health and AI revolution over the past two decades. Anmol has co-founded or held executive roles at multiple unicorns in the emerging field of digital healthcare; a field which has existed for less than two decades. His professional contributions in the field have received hundreds of millions of dollars in funding from leading VCs, and been featured in such media as CNBC, New York Times, Washington Post, and Wired Magazine. His scientific contributions have been published in dozens of scientific articles in leading computer science and digital health journals, and led to over 30 issued and pending US patents.
Anmol received a Ph.D. in machine learning applied to human behavior from the MIT Media Lab. In his spare time, he enjoys time with his family, which has recently meant changing a surprising number of diapers.
Thank you for listening!
Subscribe here to be notified every time we release new episodes!
You can also find our podcast episodes on YouTube here: https://www.youtube.com/@AutonomousHealth
Learn more at: https://www.autonomoushealth.com/
Come follow us on LinkedIn: https://www.linkedin.com/company/autonomoushealth/
And continue the conversation on Twitter: https://twitter.com/AutonomousHeal
Autonomous Health is...
Produced & Hosted by: Anmol Madan
Edited by: Rebecca Ahn
Disclaimer:
The Autonomous Health podcast is for general informational purposes only and does not constitute the practice of medicine or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast or materials linked from this podcast is at the user’s own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in obtaining medical advice for any medical condition they may have and should seek the assistance of their health care professionals for any such conditions.
Autonomous Health Podcast
An Architect’s View on Putting Healthcare AI to Work
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In this episode, we speak to Bagirathi Narayanan, Chief Architect at Teladoc Health.
Bagirathi talks about her journey as an enterprise software architect in the finance-tech world, and what made her come to healthcare. While both are heavily regulated and have similar technology challenges; the complexity of the ecosystem in healthcare is remarkably high. Bagirathi talks about how these industries approached the cloud-first and mobile-first transformation; and what lessons apply to being an AI-first healthcare enterprise in 2024.
Software engineers and product managers sometimes have a love-hate relationship with architects. Bagirathi shares her thoughts on where software architects add the most value (hint: not just technology blueprints; but tying them to the bigger business goals); and also where they are the most misunderstood.
Why aren’t large healthcare companies good at software engineering and data platforms? Bagirathi talks about the cultural issues of being a healthcare services company; but also the margin pressures of being a healthcare company. Non-profit health systems often run at single-digit margins; which makes it harder to invest in technology.
Bagirathi Narayanan is the SVP, Chief Architect at Teladoc Health, leader in whole-person health virtual care. Bagirathi spearheads enterprise architecture at Teladoc Health with a mission of architecting the future of digital health.
Before joining Teladoc Health, Bagirathi spent over 20 years leading business-technology transformations at enterprise scale in Fortune 50 companies across banking, finance, insurance, and high-tech industries. She has held various senior technology leadership roles, leading large global teams in engineering, software development, infrastructure, technology strategy, architecture, and operations. Bagirathi is an industry expert in digital transformation, product-platform strategy and architecture, legacy modernization, artificial intelligence, machine learning, and scaled enterprise agile transformation. She holds a consistent track record of maximizing business value, improving customer experience, and delivering operational excellence by leveraging cutting-edge technologies and building high-performing teams.
Bagirathi holds a master’s degree in Information Technology and Management and is an Executive Scholar in Finance and Strategy from Kellogg School of Management. She is a passionate advocate of making a meaningful impact with technology and lives by the mantra, “Sarve Jana Sukhino Bhavantu” (Language: Sanskrit. Meaning: May all be well)
#autonomoushealth #tech #ai #machinelearning #healthcare
Thank you for listening!
Subscribe here to be notified every time we release new episodes!
You can also find our podcast episodes on YouTube here: https://www.youtube.com/@AutonomousHealth
Learn more at: https://www.autonomoushealth.com/
Come follow us on LinkedIn: https://www.linkedin.com/company/autonomoushealth/
And continue the conversation on Twitter: https://twitter.com/AutonomousHeal
Autonomous Health is...
Produced & Hosted by: Anmol Madan
Edited by: Losa Amara Meru
Marketing: Erin Garcia Miller
About Your Host:
Anmol Madan is an entrepreneur, computer scientist, and executive who has been leading the digital health and AI revolution over the past two decades. Anmol has co-founded or held executive roles at multiple unicorns in the emerging field of digital healthcare; a field which has existed for less than two decades. His professional contributions in the field have received hundreds of millions of dollars in funding from leading VCs, and been featured in such media as CNBC, New York Times, Washington Post, and Wired Magazine. His scientific contributions have been published in dozens of scientific articles in leading computer science and digital health journals, and led to over 30 issued and pending US patents.
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