Featured resources

Documentation

Explore reference material to get started and see what you can do with Watson™ OpenScale™.

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Demo

Learn how to configure the service and set up bias detection and explainability.

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IBM Watson OpenScale builds trust in AI via monitoring, fairness and explainability

Read a 451 Research analyst report to learn how business users can now use Watson OpenScale to examine models without the help of data scientists.

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Bias Mitigation Research Paper

Increase fairness of predictions for both individuals and groups, and improve classification accuracy, by following this new framework.

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Neural Network Synthesis Research Paper

Introducing NeuNetS. Build custom neural networks with accuracy similar to human-designed AI models in less time.

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Contrastive Explanations for ML Research Paper

Generate contrastive explanations for any classification model using the Model Agnostic Contrastive Explanations Method (MACEM) method.

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Bloor Research Report

Read the report: Operationalize AI across your business with an AnalyticsOps platform.

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Get started with Watson OpenScale

Explore the capabilities of Watson OpenScale — the open platform that helps enable businesses to automate and operate AI at scale, wherever it resides. Get insights into every stage of the AI lifecycle and give your business greater confidence in AI outcomes.

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