AI GOVERNANCE

Unmet need for AI Governance

The new challenge for everyone who wants to get started with AI is the Guidelines and Regulation on AI Ethics, Trustworthiness and Robustness, that are being implemented across the globe.

ETHICAL AND TRUSTWORTHY AI

ETHICAL & UNBIASED AI

AI Governance is structured around ethical principles such as fairness and algorithmic bias.

robust and traceable AI

ROBUST & TRANSPARENT AI

Full traceability of all data and model events is secured across the platform.

full set of Governance requirements for data and AI model development

EXPLAINABLE AI

Before everything else, AI Governance is human-centered. So besides model performance, it ensures explainable AI models.

Grace AI Governance

The process of AI model Development, Deployment and Operation will include comprehensive reporting to external and internal stakeholders across the organization to support Governance approvals, monitoring of AI models in real-time and delivering ad-hoc information to IT and Business.

Grace AI Governance

Governance functionalities

As a part of our Grace AI Platform, organizations are provided with the most comprehensive AI Governance, including monitoring and surveillance as well as traceability, explainability, and other compliance options.

AI Governance - Action Tracking

Action tracking

Advanced metadata tracking technology, tracking actions and relationships between all events.

Dashboarding

Fixed and configurable dashboard to monitor DS workflow, models in production, IT infrastructure and more.

AI Governance - Dashboarding
AI Governance - Relationships between events

Relationships

All relationships between events are saved in a graph database, enabling  detailed  analysis of all events.

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