Name: AI Model Governance in a High-Compliance Industry
Start: 2020-04-08T14:00:00-04:00
End: 2020-04-08T14:30:00-04:00

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

Technology

Science

Applied Statistics

Data Analytics

Data Visualization

Data Mining

Ecology

Economics

Open Source

R Project for Statistical Computing

Machine Learning

Data Science

Business Intelligence

Biology

AI Model Governance in a High-Compliance Industry

Online event

Share

DSS Montreal | R User Group

AI Model Governance in a High-Compliance Industry

DSS Montreal | R User Group

Details

Members are also interested in