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AI governance platform overview
Turn static frameworks into active governance
Visibility and transparency
Ensure model transparency for all stakeholders
Policy creation and execution
Run a dynamic and scalable policy library
Evidence and compliance attestation
Generate evidence of your model governance
Continuous model validation
Proactively address risks; monitor drift and bias
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Machine Learning model deployment can be a complicated undertaking, but it doesn’t have...
Webinar: AI bias
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AI governance solutions start here
From GLM to LLM, govern your entire modeling system
AI governance in regulated industries
Standards and compliances exist - even for AI
Health & life sciences
Build better models for critical health outcomes
Insurance
Model governance built for insurance
HR & recruitment
Ensure fair, unbiased, and compliant AI in HR processes
Financial services
Reduce mundane model risk management tasks
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Solutions for responsible and trustworthy AI
Webinar: AI product risk
How an AI company launched AI governance
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AI Trust Library
The enterprise lens on AI & Trust
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Presenations about AI, governance, and risk in modeling systems
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Original insights and perspectives about model governance and risk management
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The AI Fundamentalists Podcast
The AI experts at Monitaur explain the foundations of safe...
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ML Assurance Newsletter
Issue
39
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Jun 18, 2024
Trust & AI: Must Reads
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