The day-to-day activities involved in handling data — collecting it, storing it safely, keeping it accurate, and retiring it when no longer needed.
The day-to-day activities involved in handling data — collecting it, storing it safely, keeping it accurate, and retiring it when no longer needed.
Data management encompasses eleven knowledge areas in the DAMA Data Management Body of Knowledge (DMBOK): data governance, data architecture, data modelling, data storage, data security, data integration, documents and content, reference and master data, data warehousing and business intelligence, metadata management, and data quality. In the context of AI systems, data management activities directly affect the quality and compliance of training, validation, and test datasets — factors assessed during EU AI Act conformity assessments.
Investment in data management capability reduces the cost of AI development by ensuring datasets are well-organised, documented, and reliable before modellers begin work.
Like the operations of a well-run library: books (data) are catalogued, shelved correctly, maintained in good condition, lent and returned through a governed process, and eventually deaccessioned when outdated.
The day-to-day activities involved in handling data — collecting it, storing it safely, keeping it accurate, and retiring it when no longer needed.
Data management encompasses eleven knowledge areas in the DAMA Data Management Body of Knowledge (DMBOK): data governance, data architecture, data modelling, data storage, data security, data integration, documents and content, reference and master data, data warehousing and business intelligence, metadata management, and data quality. In the context of AI systems, data management activities directly affect the quality and compliance of training, validation, and test datasets — factors assessed during EU AI Act conformity assessments.
Investment in data management capability reduces the cost of AI development by ensuring datasets are well-organised, documented, and reliable before modellers begin work.