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[SITUATION] · [QUIET] · [TECHNOLOGY]
2 clusters · 4 sources · 4 days · First seen · Last updated
Enterprise AI data management and storage challenges
Overview
Technology firms are highlighting the critical role of data management and infrastructure in supporting enterprise artificial intelligence. Everpure has focused on the need for data to serve as an enduring system of reference, emphasizing the importance of discovering data across environments and implementing governance controls to overcome application silos.
Complementing this, Seagate has identified a significant gap in corporate preparedness. While nearly all surveyed IT leaders anticipate increased storage requirements due to AI, only 38% feel adequately prepared. Seagate’s research indicates that while many companies are seeing returns on AI investment, they face obstacles such as data quality, infrastructure limitations, and energy constraints. To address these challenges, Seagate advocates for a balanced infrastructure approach and ‘Sustainable Scaling’ to manage growing data volumes while addressing environmental concerns.
Entities
Timeline
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[TECHNOLOGY] 2 sourcesSeagate report: 62% of companies unprepared for AI storage demands
A Seagate study finds that while 99% of IT leaders expect AI to drive higher storage demand, only 38% of companies feel prepared to manage the resulting infrastructure needs.
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[TECHNOLOGY] 2 sourcesEverpure and Seagate emphasize data management for AI
Everpure and Seagate are highlighting the importance of strategic data management and diverse storage architectures, including disk drives, to support enterprise AI scaling and governance.
Sources
blocksandfiles.com · enterpriseitnews.com.my · ipaddisti.it · japan.zdnet.com