In the complex landscape of federal healthcare, the ability to transform fragmented data into longitudinal insights is the ultimate differentiator. For CMS, achieving operational efficiency and sustainable cost savings requires more than just “the cloud”—it requires a specialized convergence of mission expertise and high-performance data architecture.
This session highlights how GDIT, a leader in large-scale CMS program integration, utilizes the Snowflake AI Data Cloud to solve the industry’s most persistent data challenges. We will move beyond the hype to discuss how a unified data strategy:
- Powers Interoperability at Scale: Seamlessly integrating disparate EHR and claims data to meet CMS interoperability mandates while ensuring sub-second query performance.
- Accelerates AI-ready Infrastructure: Leveraging Snowflake Data Clean Rooms and GDIT’s healthcare AI frameworks to build predictive models for fraud, waste and abuse (FWA).
- Drives Health Equity and Outcomes: Using advanced analytics to identify social determinants of health (SDoH) and improve care coordination across the Medicare and Medicaid populations
Why Attend?
Through the lens of GDIT’s extensive CMS portfolio, we provide a roadmap for navigating regulatory shifts through digital transformation. See how the Snowflake AI Data Cloud acts as a force multiplier for GDIT’s domain experts, turning administrative burden into a strategic asset for better patient outcomes.
Come check this session out at the Snowflake Booth #5247
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Krishnaraj Kannan
Chief Technology Officer GDIT
In the complex landscape of federal healthcare, the ability to transform fragmented data into longitudinal insights is the ultimate differentiator. For CMS, achieving operational efficiency and sustainable cost savings requires more than just “the cloud”—it requires a specialized convergence of mission expertise and high-performance data architecture.
This session highlights how GDIT, a leader in large-scale CMS program integration, utilizes the Snowflake AI Data Cloud to solve the industry’s most persistent data challenges. We will move beyond the hype to discuss how a unified data strategy:
- Powers Interoperability at Scale: Seamlessly integrating disparate EHR and claims data to meet CMS interoperability mandates while ensuring sub-second query performance.
- Accelerates AI-ready Infrastructure: Leveraging Snowflake Data Clean Rooms and GDIT’s healthcare AI frameworks to build predictive models for fraud, waste and abuse (FWA).
- Drives Health Equity and Outcomes: Using advanced analytics to identify social determinants of health (SDoH) and improve care coordination across the Medicare and Medicaid populations
Why Attend?
Through the lens of GDIT’s extensive CMS portfolio, we provide a roadmap for navigating regulatory shifts through digital transformation. See how the Snowflake AI Data Cloud acts as a force multiplier for GDIT’s domain experts, turning administrative burden into a strategic asset for better patient outcomes.
Come check this session out at the Snowflake Booth #5247
SAVE YOUR SPOT!
Date: March 11, 2026
Time: 01:00 PM PT