Domino Data Lab rolls out new AI governance and data management features for streamlined deployment and cost control

Domino Data Lab Enhances AI Platform with New Governance and Data Management Features

Domino Data Lab has rolled out significant updates to its AI platform, aimed at improving how companies manage artificial intelligence models and their associated data. The platform, trusted by firms like Moody’s Corp. and Bayer AG, supports machine learning projects by streamlining dataset preparation, automating model deployment, and monitoring AI performance.

Stronger AI Governance Tools

The new features focus heavily on AI governance—the process of ensuring AI models operate reliably and safely. During development, engineers can now gather and share data on potential risks more effectively. The platform update enhances tracking of technical data collected during reliability reviews, making it simpler for teams to evaluate AI models.

Project managers benefit from a conditional approvals feature that lets them approve or block AI models based on their performance metrics. This gives greater control over which models advance to production, reducing the risk of deploying unreliable AI.

Automated Risk Management and Deployment Controls

Domino has introduced a visual interface for defining AI risk management policies, cutting down on manual review work. An automated monitoring system checks AI models against these policies continuously. If a model fails to meet reliability standards, the new Gated Deployment tool prevents it from moving to production.

Cost Oversight and Budget Alerts

To help manage expenses, the platform now includes a dashboard detailing AI-related infrastructure costs broken down by project, workload, and user. Teams receive budget alerts when spending exceeds predefined limits, helping to avoid unexpected cost overruns in AI initiatives.

Expanded Data Management and Accessibility

Alongside governance improvements, Domino has enhanced data management capabilities. A new integration with NetApp’s ONTAP platform allows AI developers to access ONTAP-managed records directly through Domino. Additionally, Domino Apps enable business users to interact with AI model outputs and data via simple applications, bridging the gap between technical teams and decision-makers.

Supporting Faster AI Adoption

The platform updates come with a service called Zero-to-AI, designed to help organizations move AI projects from pilot to production more quickly. This offering provides access to code modules, user interface templates, and other resources that speed up deployment.

These improvements provide management teams with better tools to control AI risks, optimize costs, and enhance collaboration between data scientists and business users. For those looking to expand their knowledge or skills in AI governance and data management, exploring targeted training can be a valuable step. Learn more about AI courses and certifications at Complete AI Training.