Modernizing Data Foundations for AI

How to Accelerate Value from Legacy to Cloud

On-Demand Webinar | Presented by Emids + BHI + Snowflake

Why Watch This Webinar? 

Healthcare payers are at a crossroads: rising cost pressure, mounting regulatory requirements, and the push to operationalize AI demand more than legacy systems can deliver. But modernization doesn’t have to mean ripping and replacing everything. 

In this 30-minute, insight-packed webinar, leaders from Emids, Snowflake, and Blue Health Intelligence (BHI) share real-world strategies on how to unlock the full value of your data and lay a strong foundation for trustworthy, scalable AI. 

What You’ll Learn 

  • The biggest blockers preventing AI success in payer organizations 
  • Why “there’s no AI strategy without a data strategy”—and what to do about it 
  • How Snowflake enables clean, accessible, and interoperable data at scale 
  • What a smart modernization roadmap looks like (hint: it’s not linear) 
  • Real use cases: claims triage, member churn, population health, and more 
  • How Emids and Snowflake complement each other to drive fast, scalable impact 
  • What it really takes to earn trust in AI, from the boardroom to operations 

Who Should Watch 

This session is built for: 

  • CIOs, CDOs, CTOs 
  • Heads of Data, Analytics, AI, and IT Strategy 
  • Business transformation and digital innovation leaders at payer organizations 

If you’re modernizing your platform—or planning to—you can’t afford to miss this. 

Watch On-Demand

Speakers

Chris is the Vice President of Cloud Alliances at Emids and specializes in developing partnerships, driving strategic alignment, and creating joint solutions that accelerate the funnel of new business opportunities.  

Patrick Kovalik is an Industry Principal for the Healthcare and Life Sciences practice at Snowflake, focusing on Data and AI solutions and strategies for the Payer & Provider segments.  He has spent his career delivering innovative solutions, process improvement, and data management initiatives for data-driven business decisions and metrics improvement.

Prior to joining Snowflake, Patrick spent a decade leading Operations, Analytics, Business Solution Development, and Data Management operations for the Texas health plan within a Fortune 50 Managed Care Organization, connecting business leaders to data for improved care management outcomes and performance measurement.

David is an expert leader in creating capabilities that enable organizations to transform their operations with data science and AI. Specializing in healthcare applications, he has a deep experience in predictive analytics, including personalization, forecasting, and patient finding. He invented a novel time-series decomposition and data-mining methodology.

Abhijeet is a seasoned Data & AI leader with over two decades of experience driving transformations at Fortune 500 companies and building high performing teams.

His expertise spans strategy, solution architecture, delivery, program management, business development, P&L ownership, and competency development. As a hands-on leader, Abhijeet specializes in complex data modernization initiatives, building data trust, and developing innovative Gen AI and Agentic AI solutions.