Applied Artificial Intelligence
ActivePrime leverages techniques from applied Artificial Intelligence (AI), providing a new, more holistic approach to deploying effective data quality solutions. Techniques include inexact indexing, query optimization, rule-base encoding, and lightweight ontologies.
This new approach enables solutions with four key data quality characteristics.
- Robustness to imprecise data. Routinely and straightforwardly deal with minor inconsistencies and inexactness in data across the organization. Additionally, handle more subtle, indirect, or complex forms of imprecision, employing automatic data analysis and input from human users.
- Speed. Support interactive data management through rapid cycling of core operations. Scale effectively with size of data resources and complexity of operation.
- Ease of use. Fundamental data management operations are accessible to end users, not limited to IT professionals. Features can be customized for particular domains without programming.
- Flexibility. Support for a variety of applications that are independent of specific data-management vendors, data type, and particular vertical. Modular design enables extensible deployment and incremental addition of new capabilities, plug-in components, and customized functions.
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