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Data as the Differentiator: How to Build a Strong Data Foundation for Generative AI

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Overview

Healthcare organizations know that generative AI offers exciting possibilities, but many struggle with data challenges that prevent success. Poor data quality, fragmented information systems, and regulatory concerns often hold back generative AI initiatives from delivering real value.
 
Join Ryan Gross, Head of Data and AI at Caylent, and Arun Velliangiri, Senior Partner Solutions Architect at AWS, to learn how building a solid data foundation can improve your generative AI results and turn your data into a competitive advantage.

In this webinar, we'll cover:

- Industry trends and AI use cases
- Common data challenges affecting generative AI performance
- Practical steps to build a strong data foundation that supports AI innovation
- Real-world examples of organizations achieving better outcomes with AWS solutions
 

Speakers

Ryan Gross, Caylent Senior Director of Data & Applications

Ryan leads Cloud Data/AI/ML delivery at Caylent. He is deeply interested in how people, machines, and teams learn better together. He has helped over 50 clients in their journey to build a technology backed data and AI culture across his 15 year career. He has demonstrated expertise delivering technology-backed transformation across nearly every industry and functional area. By identifying technology trends, and leading the development of asset backed consulting offerings to realize value, he builds a growth culture within his team. He regularly speaks at conferences on emerging trends in the world of data and AI.

 

Arun Velliangiri, AWS Senior Solutions Architect

Arun is based in Minneapolis, specializing in healthcare transformation through cloud technologies, with over 15 years of expertise in value-based care delivery, digital health innovation, population health management, and enterprise healthcare modernization. His technical leadership spans critical healthcare domains including EMR/EHR systems, FHIR implementation, and HIPAA-compliant architectures, where he has architected solutions enabling healthcare organizations to leverage predictive analytics and AI for improved patient outcomes. At AWS, Arun has collaborated with over 50 healthcare partners to launch 100+ innovative offerings, including cutting-edge Generative AI solutions for medical imaging, clinical documentation, and drug discovery.

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