Today, Host Sandy Vance is talking with Robert Dwyer, PhD EVP, Chief Data Scientist at Certilytics about AI and healthcare. Dr. Dwyer is here to help demystify and readiness  of generative AI. They delve into the transformative impact of generative AI on healthcare data and its revolutionary potential for the industry. Join us as we explore Certilytics, a company dedicated to creating a user-friendly interface for interacting with healthcare data, and their role in empowering healthcare organizations to enhance their efficiency with AI.AI's role in healthcare is now presenting new opportunities for healthcare data and analytics to go beyond just Large Language Models (LLMs) and deliver business intelligence that can impact healthcare administration strategies and help accelerate improved outcomes & efficiency in healthcare. In this episode, they talk about:Dr. Dwyer’s background in generative AI and his journey to CertilyticsHow generative AI is transforming the insights that healthcare leaders and organizations can derive from their dataThe impact of data availability on the use and effectiveness of AI in healthcareCertilytics’ goal to develop a user-friendly interface that enhances how users interact with healthcare dataThe current surge in AI technology and its implications for the industryThe latest advancements and innovations in large language modelsThe influence of federal regulations on the adoption and application of AI in healthcareHow healthcare organizations are leveraging AI-enriched data to improve outcomes and efficiency A Little About Dr. Robert Dwyer:Dr. Dwyer joined Certilytics in 2014, bringing over a decade of mathematical modeling and machine learning experience in both the private sector and academia, where he worked on problems ranging from the quantification of medical and financial risk to predictive genomics. He is responsible for overseeing the design and pathing of new ML/AI products. Dr. Dwyer graduated from the University of Virginia in 2009 with a B.S. in Biology. He then obtained his M.S. and Ph.D. in computational biology from Princeton University, where he developed variations of maximum entropy algorithms to predict three-dimensional protein folding patterns by mining genomic sequence data. Prior to Certilytics, he worked with a number of startups and think tanks to develop algorithms to predict student loan repayment rates and to track Defense Department allocations.Do you have any questions for Robert Dwyer? Reach out by emailing him at [email protected]. 

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