Operate trusted AI. Monitor and manage models.
Businesses are increasingly reliant on AI to speed decision making and streamline operations. Successful AI adoption relies on trust and transparency in how models are built, deployed and managed. IBM Cloud Pak® for Data helps you gain trust and transparency in AI. IBM Watson® OpenScale™, a capability within IBM Watson Studio on IBM Cloud Pak for Data, monitors and manages models to operate trusted AI. With model monitoring and management on a data and AI platform, an organization can: → Register for the IBM Innovation Preview virtual event: Trust in AI (link resides outside IBM) Turn open source frameworks and tools into trusted AI models with IBM Cloud Pak for Data.
Benefits
Features
Use cases
Credit risk modeling
Credit lenders can monitor risk models for performance, bias and explainability to limit risk exposure from regulations and create more fair and explainable outcomes for customers.

Explainable claims processing
Insurance underwriters can use machine learning to more consistently and accurately assess claims risk, ensure fair outcomes for customers and explain AI recommendations for regulatory and business intelligence purposes.

Predict CSP asset failures
Communications service providers can recommend proactive asset maintenance using real-time model monitoring.

What's new

KPMG: Stewarding responsible AI
Hear how IBM and KPMG help our joint clients scale and trust AI.

Streamline AI model risk management
Learn how to validate and test models to mitigate model risk impact.

Trust AI in ModelOps
Explore how to operationalize models and build DevOps for AI with trust and transparency.