Research data management is the care and management of data from all stages of the research lifecycle, beginning with idea conception and continuing through proposal writing, generation of results, ...
One thing I’ve consistently observed as CEO of intelligent pricing platform Competera is that data remains a retailer’s most valuable asset. Whether it’s managing data through data hubs or data ...
Soaring data volumes, increasing data complexity and the growing use of artificial intelligence (AI) are driving organisations to improve their data management practices, according to Christine Low, ...
This is crucial, especially for data mesh, where everyone becomes a data user, and metadata, where everyone should access data knowledge. Without an anthropological and psychological perspective on ...
NetApp will maintain its big push towards data management for artificial intelligence (AI) workloads and took the opportunity to explain that move at its Insight 2024 event in Las Vegas this week.
Bank of America’s DataConnect platform provides a range of data management capabilities designed to help users process and manage data throughout their business lifecycle. This environment provides an ...
In the rail industry, asset management has historically been synonymous with the management of physical assets by dedicated teams of highly experienced practitioners and localised ownership of the ...
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