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Posts Tagged ‘Metadata’

Findability with Metadata

By Melody Smith | May 24, 2024

Artificial intelligence (AI) can play a significant role in making metadata more meaningful for data management by enhancing its accuracy, relevance and efficiency. This interesting topic came to us from Formtek in their article, “How AI Can Make Metadata More Meaningful for Data Management.” AI algorithms, particularly natural language processing (NLP) models, can analyze the…

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Metadata – The Silent Powerhouse

By Melody Smith | May 8, 2024

Effective data management is essential for organizations to derive valuable insights, make informed decisions and gain a competitive edge. At the heart of successful data management lies metadata, which serves as the backbone for organizing, understanding and leveraging data assets. This interesting topic came to us from Silicon ANGLE in their article, “Metadata is the…

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The Significance of Metadata in Findability

By Melody Smith | April 26, 2024

Metadata has always been a key factor in findability. Media companies are discovering the value and importance due to its improved consistency, data quality and cost efficiency. This important topic came to us from TV Technology in their article, “How to Increase the Value of Your Content Library with Metadata.” In the vast digital expanse…

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Managing Data for Success

By Melody Smith | March 21, 2024

Effective data management is essential for organizations to derive valuable insights, make informed decisions and gain a competitive edge. At the heart of successful data management lies metadata, which serves as the backbone for organizing, understanding and leveraging data assets. This interesting topic came to us from Silicon ANGLE in their article, “Metadata is the…

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Metadata and AI

By Melody Smith | February 7, 2024

Artificial intelligence (AI) can play a significant role in making metadata more meaningful for data management by enhancing its accuracy, relevance and efficiency. This interesting topic came to us from Formtek in their article, “How AI Can Make Metadata More Meaningful for Data Management.” AI algorithms, particularly natural language processing (NLP) models, can analyze the…

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Bridging the Data

By Melody Smith | January 2, 2024

Metadata refers to the structured information that describes and provides context for data, making it easier to understand, organize, and retrieve. Metadata management is highly important, especially in the context of data management, information systems, and digital content. This interesting topic came to us from TLNT in their article, “Don’t just look at data; look…

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Taking Data to the Next Level

By Melody Smith | December 21, 2023

Enriching metadata with better tags and descriptions makes it easier for anyone to search and find quicker and more easily. Recent advances in IT and artificial intelligence (AI) offer remarkable opportunities for the automatic enrichment of cultural heritage metadata with minimal resources. Involving humans in this work however remains important. This interesting topic came to…

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Transformed

By Melody Smith | December 19, 2023

The ongoing push for digital transformation has long been driving organizations to upgrade and overhaul technology stacks toward service-based models. In 2023, the focus on people has driven digital transformation more than ever as companies have continued to develop inherently cheaper hybrid workplaces. Analytics Insight brought this interesting news to our attention in their article,…

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Unfettered Access with Margie Hlava

By Melody Smith | December 12, 2023

Margie Hlava, Chief Science Officer and Chairman of Access Innovations, joined the third episode of Unfettered Access with NISO Executive Director, Todd Carpenter. Unfettered Access is a Conversation Series produced by NISO. During their conversation, Margie traces the development of metadata and taxonomy standards and applications, including new artificial intelligence (AI) applications, over her career.…

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Managing the Data for Findability

By Melody Smith | December 8, 2023

Data warehousing refers to the process of collecting, organizing, and storing large volumes of data from multiple sources in a centralized repository called a data warehouse. It is designed to support efficient querying, analysis, and reporting of data for decision-making purposes. Data Science Central brought this interesting topic to us in their article, “Enhancing metadata-driven…

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