Prashant Natarajan from H2O.ai discusses generative AI in healthcare on this episode. They cover its impact on medical imaging, drug patents, and language interactions. The conversation also explores the transition to small AI models, AI in public healthcare, and the potential of generative AI in drug development and data privacy.
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Quick takeaways
Generative AI offers value in early-stage drug development in healthcare and life sciences.
In-house AI models mitigate data privacy risks in healthcare organizations.
Specific language models (SLMs) are cost-effective for domain-specific tasks, signaling an evolution in AI model usage.
Deep dives
Enthusiastic Response to Generative AI in Healthcare and Life Sciences
Departments in healthcare and life sciences enterprises are responding with enthusiasm and experiments to generative AI messaging. Prashant highlighted a shift in industries where the new digital divide is based on leveraging AI more effectively than competitors. The seamless integration of AI and computing is predicted to transform healthcare by facilitating easy task execution.
Value of Generative AI in Drug Development and Clinical Trials
Generative AI is credited with offering significant value in early-stage drug development within life sciences. Additionally, the focus on drug development and clinical trials is prioritized as an exciting opportunity for generative AI advancements in the industry.
Integration of AI Models In-house to Address Data Privacy Concerns
The importance of bringing AI models in-house to mitigate data privacy risks was emphasized. This approach aims to ensure better control over data, models, and results, offering a solution to fears surrounding external data handling.
Transition towards Specific Language Models as a Cost-Effective Solution
A shift towards specific language models (SLMs) is observed as a cost-effective measure for certain tasks compared to running larger language models (LLMs). The focus is on utilizing smaller models that perform efficiently on specific domain tasks, signaling a potential evolution in AI model usage.
Public-private Sector Innovation and Impact in Healthcare
There is a shared sentiment on leveraging generative AI in both private and public healthcare sectors. Prashant highlighted the necessity of extending advancements from the private to public healthcare sectors. The episode discussed collaborations between private and public healthcare entities to deliver improved patient outcomes and transformative innovations.
Today’s guest is Prashant Natarajan, Vice President of Strategy and Products at H2O.ai. H2O.ai is a tech company whose platform, the H2O AI Cloud, enables businesses, government entities, nonprofits, and academic institutions to make, operate, and innovate with different AI capabilities like machine learning and AI-enhanced middleware. Prashant joins Emerj CEO and Head of Research Daniel Faggella on today’s episode to discuss the impact generative AI is having on the healthcare industry and what leaders can do to drive adoption safely across the enterprise. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.
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