How to maximize the value of your data with AI governance

May 13, 2024
Nichole Wolf Product Marketing Manager

Data is an organization’s most strategic asset, especially when pursuing complex AI use cases. In this episode of Diagnosing Healthtech, Databrick’s Global Industry Lead for Healthcare & Life Sciences Mike Sanky joins Redox to share how a data governance strategy can help organizations earn trust, mitigate risk, and leverage the full power of AI. Mike is joined by Toryn Slater from Redox’s Strategic Partnerships team.

The full episode is packed with data governance tips, including how to navigate AI’s rapidly evolving regulatory landscape. Here’s a recap of Mike’s insights—you won’t want to miss the key mistake that many organizations make when attempting to craft a governance strategy.


Mike starts the podcast with risk mitigation advice for healthcare executives as they seek to leverage all of the power that AI yields. 

“Many organizations functionally divide responsibility and make the mistake of siloing data governance. You need to understand the full data continuum and manage those risks across the entire pipeline.”
Mike Sanky, Databricks

As organizations start to build their data governance framework, Mike advises to identify core components and break them into buckets to make the process more digestible and actionable. 

When implementing a data governance strategy across an enterprise, Mike explains how cloud tools can make it easier and more effective. 

“Cloud combined with strong governance and cataloging enables you to manage all data modalities in a single unified platform. You’re then able to bring all of the different tooling capabilities directly to that single copy of the data.”
Mike Sanky, Databricks

With data centralized in a unified cloud environment—and a governance structure established— organizations can then start deploying large language models (LLMs) and tools. But getting data into the cloud to enable these outcomes is harder and more technically complex than many organizations realize. 

“Generative AI and data warehousing is only as powerful as the data that lives within the cloud. But getting data into the cloud is a complex exercise, and can be its own project in and of itself.”
Toryn Slater, Redox

Mike wraps up his insights by sharing a provider use case powered by Databricks + Redox. Using a Databricks’ Solutions Accelerator with real-time, bi-directional streaming via Redox, providers can automate emergency department wait time reporting to better predict patient throughput and manage capacity planning. 

“There are tremendous opportunities unlocked downstream once you’re able to establish this foundation of data and governance.”
Mike Sanky, Databricks

If you’re interested in a deeper dive on AI data governance, keep an eye out for Redox’s upcoming whitepaper in collaboration with Databricks. We’ll share practical insights for healthcare executives focused on leveraging a data governance strategy for better, more secure outcomes with AI.