AI Model Governance in a High-Compliance Industry
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Model governance defines a collection of best practices for data science – versioning, reproducibility, experiment tracking, automated CI/CD, and others. Within a high-compliance setting where the data used for training or inference contains private health information (PHI) or similarly sensitive data, additional requirements are added.
Join us for a live webinar (https://hubs.ly/H0nRfy_0) on April 8th at 11 am PT to learn:
- The additional requirements such as strong identity management, role-based access control, approval workflows, and full audit trail.
- Best practices for establishing a high-productivity data science team within a high-compliance environment.
- How these requirements can be met using John Snow Labs’ Healthcare AI Platform.
Register here: https://hubs.ly/H0nRfy_0

DSS Montreal | R User Group
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AI Model Governance in a High-Compliance Industry