Building Healthcare AI without rebuilding your Data Platform
A working session on replacing rigid ETL pipelines with real-time, AI-ready data, without a multi-year infrastructure project.
September 22, 2026
12 PM - 1 PM EDT
Virtual
Giovanni Harold
David Millman
Why traditional ETL architecture slows healthcare AI, and what modern teams are doing instead.
How to deliver fresh, trusted data from Epic and other healthcare systems without building custom pipelines.
How to reduce engineering effort while improving data quality, governance and compliance.
You're all set, [Name].
Registration closed.
AI is already changing how healthcare organizations document patient visits, monitor vitals, read scans, process claims etc. The organizations pulling ahead aren't the ones with the biggest AI budget. They're the ones who fixed their data foundation first. Join Fivetran and phData live to see how healthcare and life sciences teams are deploying automated, real-time pipelines, and what changes for clinical, operational and administrative AI once the data is ready.
Why now: About 37% of hospitals are running at a loss or on margins of 2% or less, and CFOs are under pressure to bring AI into billing and every other part of the business. Most core healthcare data infrastructure was built for a world where a warehouse refreshed once a day. That gap is now the reason AI initiatives stall before they reach production.
Who should attend: Data and IT leaders at healthcare and life sciences organizations evaluating how to support AI initiatives without a multi-year data rebuild. Data engineering managers and practitioners responsible for building or maintaining the pipelines behind clinical, operational and administrative AI.
Why traditional ETL architecture slows healthcare AI, and what modern teams are doing instead.
How to deliver fresh, trusted data from Epic and other healthcare systems without building custom pipelines.
How to reduce engineering effort while improving data quality, governance and compliance.
Giovanni Harold
David Millman
Giovanni Harold
David Millman
AI is already changing how healthcare organizations document patient visits, monitor vitals, read scans, process claims etc. The organizations pulling ahead aren't the ones with the biggest AI budget. They're the ones who fixed their data foundation first. Join Fivetran and phData live to see how healthcare and life sciences teams are deploying automated, real-time pipelines, and what changes for clinical, operational and administrative AI once the data is ready.
Why now: About 37% of hospitals are running at a loss or on margins of 2% or less, and CFOs are under pressure to bring AI into billing and every other part of the business. Most core healthcare data infrastructure was built for a world where a warehouse refreshed once a day. That gap is now the reason AI initiatives stall before they reach production.
Who should attend: Data and IT leaders at healthcare and life sciences organizations evaluating how to support AI initiatives without a multi-year data rebuild. Data engineering managers and practitioners responsible for building or maintaining the pipelines behind clinical, operational and administrative AI.