{"id":231226,"date":"2025-01-14T15:11:07","date_gmt":"2025-01-14T14:11:07","guid":{"rendered":"https:\/\/glosarix.com\/glossary\/intelligent-data-management-en\/"},"modified":"2025-03-08T22:18:21","modified_gmt":"2025-03-08T21:18:21","slug":"intelligent-data-management-en","status":"publish","type":"glossary","link":"https:\/\/glosarix.com\/en\/glossary\/intelligent-data-management-en\/","title":{"rendered":"Intelligent Data Management"},"content":{"rendered":"<p>Description: Intelligent Data Management uses artificial intelligence (AI) and machine learning to optimize data storage and retrieval in various environments, including cloud and edge computing. This approach allows organizations to handle large volumes of data more efficiently, improving decision-making and business agility. By integrating advanced technologies, Intelligent Data Management facilitates process automation, pattern and trend identification in data, and service personalization. Additionally, it adapts to different architectures, enabling quick and secure access to information. Business intelligence (BI) tools benefit from this management as they provide deeper and more accurate analyses, helping companies gain a competitive edge. Furthermore, software-defined networks (SDN) can optimize data flow, ensuring that critical information is available at the right time. In summary, Intelligent Data Management is a key component in digital transformation, allowing organizations to maximize their data assets and respond quickly to market demands.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Description: Intelligent Data Management uses artificial intelligence (AI) and machine learning to optimize data storage and retrieval in various environments, including cloud and edge computing. This approach allows organizations to handle large volumes of data more efficiently, improving decision-making and business agility. By integrating advanced technologies, Intelligent Data Management facilitates process automation, pattern and trend [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"glossary-categories":[12333,11738,11816],"glossary-tags":[13288,12694,12772],"glossary-languages":[],"class_list":["post-231226","glossary","type-glossary","status-publish","hentry","glossary-categories-bi-tools-en","glossary-categories-cloud-services-en","glossary-categories-edge-computing-in-the-cloud-en","glossary-tags-bi-tools-en","glossary-tags-cloud-services-en","glossary-tags-edge-computing-in-the-cloud-en"],"post_title":"Intelligent Data Management ","post_content":"Description: Intelligent Data Management uses artificial intelligence (AI) and machine learning to optimize data storage and retrieval in various environments, including cloud and edge computing. This approach allows organizations to handle large volumes of data more efficiently, improving decision-making and business agility. By integrating advanced technologies, Intelligent Data Management facilitates process automation, pattern and trend identification in data, and service personalization. Additionally, it adapts to different architectures, enabling quick and secure access to information. Business intelligence (BI) tools benefit from this management as they provide deeper and more accurate analyses, helping companies gain a competitive edge. Furthermore, software-defined networks (SDN) can optimize data flow, ensuring that critical information is available at the right time. 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