Webinar

The Guide to AI Data Readiness for Healthcare Providers

April 7th @ 12PM CT

You’re full of ideas for how AI can improve operations from patient care to administrative tasks. The only problem? Your data is a mess.

Your AI model is only as good as the data it’s built on. Healthcare data is notoriously messy. Siloed, unstructured, and incomplete.

Garbage in, garbage out.

This webinar breaks down the essential infrastructure for safe, effective AI. We'll explore low-risk, high-ROI backend projects and dive into why high-stakes clinical work requires data governance. You’ll leave with a practical crawl-walk-run strategy that scales with your goals.

Event Details → Meet our Speakers →

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Speakers

Meet your healthcare AI experts.

Whether you're on Snowflake, Salesforce Data Cloud, or if your data is distributed across multiple systems, we'll give you the roadmap to get your data AI-ready.

Kim Root

Director, Healthcare Solution Engineering
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Matt Fiel

EVP of Marketing
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Event Details

We're covering everything hospitals need to make their data ready for AI.

You'll learn:

The "Garbage In, Garbage Out" RealityUnderstand why 97% of healthcare data goes unused and how poor data quality leads to failed AI implementations.

The Risk QuadrantA breakdown of where to start. We will analyze why backend operations (Revenue Cycle, Supply Chain, Credentialing) are lower-risk entry points compared to patient-facing clinical use cases (Triage, Care Plans), and why both demand impeccable data.

Defining "Good" DataLearn the four pillars of AI-ready data: Accuracy, Completeness, Timeliness, and Standardization.

A Crawl-Walk-Run Roadmap to ReadinessA step-by-step guide to assessing your current data maturity, breaking down silos between EHRs and ERPs, and establishing the governance needed to trust your AI’s output.

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