What is IBM Watson OpenScale?
See how IBM Watson® OpenScale™ tracks and measures outcomes from AI across its lifecycle, and adapts and governs AI to changing business situations — for models built and running anywhere. Watson OpenScale is available in IBM Cloud Pak™ for Data and on IBM Cloud™.
AI outcomes news and resources
451 Research recognizes Watson OpenScale for innovation
Business users can now examine models without the help of data scientists. Learn how in the report.
KPMG: Stewarding responsible AI with Watson OpenScale
Kelly Combs, an IBM Women Leader in AI honoree, on how Watson OpenScale helps govern and scale AI for KPMG clients.
See how to unlock the value of your data
Watch a keynote on an architecture to trust and control the business impact and risks of AI.
AI outcomes news and resources
Get expert advice on the trends and best practices that boost the ROI of AI.
Watson OpenScale wins AI Excellence Award
OpenScale recognized for applying AI to solve real problems.
AI-curated Wimbledon highlights
Learn how OpenScale helps pick the best highlights to serve quality content to fans.
Features
Measure and track AI outcomes
Track performance of production AI and its impact on business goals, with actionable metrics, in a single console.
Tune your AI for business
Apply business results to create a continuous feedback loop that improves and sustains AI outcomes.
Govern and explain AI
Maintain regulatory compliance by tracing and explaining AI decisions across workflows, and intelligently detect and correct bias to improve outcomes.
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
Data scientists can build machine-learning models and work with their IT operations teams to confidently recommend proactive asset maintenance for communications service providers (CSPs).
AI model control capabilities
See how Watson OpenScale helps debias AI models
Watch a demo of Watson OpenScale detecting and mitigating AI model bias in a credit risk scenario.
See how Watson OpenScale explains AI outcomes
Watch a demo of Watson OpenScale explaining AI outcomes during runtime in a business-friendly language.
See how Watson OpenScale helps correct AI model drift
Watch a demo of Watson OpenScale monitoring and comparing data to alert users to AI model drift.