HIMSS: Build an AI-Ready Healthcare Organization with Data Intelligence

Healthcare organizations are facing the challenge of making their data AI-ready — but what does that mean? Shifting from conventional data quality standards to those suitable for AI requires organizations to adapt their data management strategies while maintaining governance and compliance.

Get insights into achieving AI data readiness, and read about how two hospitals made it happen.

Learn about:

• How AI-ready data differs from traditional healthcare analytics data

• Transitioning from managing data assets to creating purpose-built data products 

• Creating an implementation roadmap for building AI-ready data