AI in Healthcare // Eric Landry // MLOps Podcast #249

AI in Healthcare // MLOps Podcast #249 with Eric Landry, CTO/CAIO @ Zeteo Health.

// Abstract
Eric Landry discusses the integration of AI in healthcare, highlighting use cases like patient engagement through chatbots and managing medical data. He addresses benchmarking and limiting hallucinations in LLMs, emphasizing privacy concerns and data localization. Landry maintains a hands-on approach to developing AI solutions and navigating the complexities of healthcare innovation. Despite necessary constraints, he underscores the potential for AI to proactively engage patients and improve health outcomes.

// Bio
Eric Landry is a technology veteran with 25+ years of experience in the healthcare, travel, and computer industries, specializing in machine learning engineering and AI-based solutions. Holding a Masters in SWE (NLP thesis topic) from the University of Texas at Austin, 2005. He has showcased his expertise and leadership in the field with three US patents, published articles on machine learning engineering, and speaking engagements at the 2023 Applied Intelligence Live, 2020 KDD conference, Data Science Salon 2024, and former leader of Expedia’s MLE guild. Formerly, Eric was the director of AI Engineering and Conversation Platform at Babylon Health and Expedia. Currently CTO/CAIO at Zeteo Health.

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Timestamps:
[00:00] Eric's preferred coffee
[00:16] Takeaways
[01:16] Please like, share, leave a review, and subscribe to our MLOps channels!
[01:32] ML and AI in 2005
[04:43] Last job at Babylon Health
[10:57] Data access solutions
[14:35] Prioritize AI ML Team Success
[16:39] Eric's current work
[20:36] Engage in holistic help
[22:13] High-stakes chatbots
[27:30] Navigating Communication Across Diverse Communities
[31:49] When Bots Go Wrong
[34:15] Health care challenges ahead
[36:05] Behavioral health tech challenges
[39:45] Stress from Apps Notifications
[41:11] Combining different guardrails tools
[47:16] Navigating Privacy AI
[50:12] Wrap up