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Solving Health AI's Data Problem

Databricks via YouTube

Overview

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Explore how Datavant addresses healthcare AI's most pressing challenge through this 18-minute conference talk by AJ Aitken, SVP Infrastructure & Platform Engineering at Datavant. Discover the critical data fragmentation issues that bottleneck AI development and deployment across life sciences, payers, and healthcare providers, where legacy paper-driven workflows and fragmented technology create persistent data silos. Learn how Datavant leverages Databricks and AWS technology to centralize clinical data storage from one of the largest health data networks, transforming it into structured, AI-ready data that reduces new AI use case deployment work by 80 percent. Understand the technical complexities involved in handling massive healthcare datasets while preserving source data integrity, and examine early use cases now available to healthcare customers that demonstrate the practical applications of this comprehensive data solution.

Syllabus

Solving Health AI’s Data Problem

Taught by

Databricks

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