CLAIRE accelerates intelligence for data management professionals by resolving the identities of master, reference, and transactional data domains (such as people, orders, and leads). CLAIRE can automatically infer similar data from user tags, discover relationships among data, and use AI-based schema matching to link target schemas to source data and help automate data integration. AI-enhanced entity matching capabilities enable more accurate matching and allow you to match unstructured and semi-structured data.
CLAIRE improves business users’ data self-service abilities by intelligently recommending data sets that might be of interest, suggesting next best actions, or automatically associating business terms and definitions with the underlying technical data, bridging the understanding gap between business and IT. AI/ML-enhanced entity matching allows business users to be part of the matching process: with business users labeling training data, configuring a data matching system takes a few hours instead of days.
CLAIRE boosts the productivity of data stewards and curators by accurately inferring new data relationships and meta-models. Metadata knowledge graphs help automate and accelerate stewardship tasks such as determining data lineage, identifying sensitive data, and consistently applying data quality rules.
CLAIRE enables administrators and operations professionals to do more by making the Intelligent Data Management Cloud itself more intelligent. Increasingly, our cloud will become more intelligent for lights-out operations, including predicting system loads and bursting or self-tuning, making it simple to operate complex enterprise data management tasks.