AI Governance
Data Science Needs Transparency and Trust
Governance is the establishment of policies, procedures, and controls to ensure that work complies with regulatory requirements and adheres to best practices. Enterprises need support ensuring data integrity, maintaining data privacy, and establishing clear oversight for data science projects. Anaconda can help.
Data management
Maintain a comprehensive record of data provenance to ensure data quality and integrity.
Accountability
Define clear user and admin roles and permissions for access control and decision making.
Efficiency and effectiveness
Define roles and permissions to streamline your workflow and reduce duplication of efforts.
Regulatory compliance support
Use built-in security features, encryption mechanisms, and audit trails to support compliance with regulatory requirements, such as GDPR, HIPAA, and CCPA.
Products to Manage Governance
Data Science & AI Workbench
Robust solutions for addressing governance challenges, including data management, access control, security, compliance, and ethical considerations. The Workbench is included in the Enterprise tier.
Package Security Manager
Take advantage of role-based access and logs for reproducibility and easy auditability. Package Security Manager is included in the Business tier.
Resources
Learn about data science and AI governance using open-source software.
What to consider when building out an enterprise-level governance program.
Talk to an Expert
Learn how utilizing governance policies drives value and innovation in data science and AI initiatives.