How AI is improving data management aritificial intelligence is quietly improving the management of data, including its quality, accessibility, and security
Artificial intelligence has been applied successfully in thousands of ways, but one of the less visible and less dramatic ones is improving data management. The authors describe five common areas of data management -- classifying, cataloging, quality, security, and data integration -- where they see...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
[Cambridge, Massachusetts] :
MIT Sloan Management Review
[2022]
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| Edition: | [First edition] |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009823026106719 |
| Summary: | Artificial intelligence has been applied successfully in thousands of ways, but one of the less visible and less dramatic ones is improving data management. The authors describe five common areas of data management -- classifying, cataloging, quality, security, and data integration -- where they see AI playing important roles. They also discuss the vendor landscape and the ways that humans are essential to data management. |
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| Item Description: | "Reprint 64309." |
| Physical Description: | 1 online resource (7 pages) |
