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2. Data steward responsibilities - Wikipedia

   en.wikipedia.org/wiki/Data_steward

   A data steward may share some responsibilities with a data custodian, such as the awareness, accessibility, release, appropriate use, security and management of data. [1] A data steward would also participate in the development and implementation of data assets.

3. Data custodian responsibilities - Wikipedia

   en.wikipedia.org/wiki/Data_custodian

   Data custodians are responsible for the safe custody, transport, storage of the data and implementation of business rules. [1] [2] Simply put, Data Stewards are responsible for what is stored in a data field, while data custodians are responsible for the technical environment and database structure. Common job titles for data custodians are ...

4. Master data management - Wikipedia

   en.wikipedia.org/wiki/Master_data_management

   The Data Owner should also be funding improvement projects in case of deviations from the requirements. The Data Steward is running the master data management on behalf of the data owner and probably also being an advisor to the Data Owner.

5. Data governance - Wikipedia

   en.wikipedia.org/wiki/Data_governance

   A data steward is a role that ensures that data governance processes are followed and that guidelines are enforced, and recommends improvements to data governance processes. Data governance involves the coordination of people, processes, and information technology necessary to ensure consistent and proper management of an organization's data ...

6. Citigroup rolls out artificial intelligence tools for ...

   www.aol.com/news/citigroup-rolls-artificial...

   Citigroup began rolling out on Wednesday new artificial intelligence tools to be used by employees in eight countries, senior executives said. Around 140,000 employees will have access to the tools.

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9. Data management - Wikipedia

   en.wikipedia.org/wiki/Data_management

   However, data has staged a comeback with the popularisation of the term big data, which refers to the collection and analyses of massive sets of data. While big data is a recent phenomenon, the requirement for data to aid decision-making traces back to the early 1970s with the emergence of decision support systems (DSS).