The benefits of AI are becoming more real every day. But to turn the promise of AI into reality, organizations must leverage a modern data pipeline while also addressing cultural and personnel issues. The articles in this section discuss the importance of building an end-to-end data pipeline for AI, and explain why cultural and other related issues are also key to maximizing AI’s vast potential.
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Focus: Real-World AI Challenges
Search Data Center
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Projections and feasibility of data centers in space
Earth has a limited amount of land, and data centers occupy large amounts of it. Data centers in space would reduce land use and ...
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CHIPS Act expected to survive, change under Trump
Changes to the Biden administration's application guidelines for the CHIPS Act, some of which Republicans fought against, are ...
Search Storage
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MinIO ups object storage ante for AI
MinIO is making a case for object to be the storage protocol for AI. But one analyst said the market has yet to decide.
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Latest version of Vdura Data Platform aimed at enterprise AI
Vdura Data Platform version 11 focuses on a microservices-based architecture and composable hardware for performance and capacity...
Search Networking
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5 principles of change management in networking
Network change management includes five principles, including risk analysis and peer review. These best practices can help ...
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A guide to Li-Fi technology
Li-Fi is an emerging wireless technology that uses visible light to transmit data instead of radio frequencies. Though still ...
SearchVMware
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Broadcom unveils AI, networking features for VCF
Broadcom solidifies VMware Cloud Foundation's shift with a focus on AI and services, but experts wonder about future R&D.
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Broadcom adds services to basic VMware subscriptions
These changes might be moot if Broadcom remains focused on its largest customers, according to one expert.