From Apache Spark to Fighting Health Insurance Denials
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Apache Spark contributor Holden Karau discusses the evolution of distributed data processing, the challenges of integrating machine learning with big data tools, and the technical complexities of working with GPUs at scale. The conversation takes a personal turn as Holden reveals her latest project: an open-source AI tool that helps people appeal health insurance claim denials. Drawing from personal experiences with denied claims, she has built a system that trains on independent medical review data to generate effective appeals, making it freely available at https://fighthealthinsurance.com while grappling with the classic open-source challenge of sustainable funding.
Transcript
Apache Spark contributor Holden Karau discusses the evolution of distributed data processing, the challenges of integrating machine learning with big data tools, and the technical complexities of working with GPUs at scale.
The conversation takes a personal turn as Holden reveals her latest project: an open-source AI tool that helps people appeal health insurance claim denials. Drawing from personal experiences with denied claims, she has built a system that trains on independent medical review data to generate effective appeals, making it freely available at https://fighthealthinsurance.com while grappling with the classic open-source challenge of sustainable funding.
About the speakers
Open Source Engineer at Netflix
Serverless Developer Advocate at AWS