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Best Context Lake Vendors for Scaling Enterprise AI Safely
Enterprise AI rarely fails because the model cannot generate an answer. It fails because the model does not understand the environment well enough to know whether that answer is appropriate. An agent sees two tables containing customer revenue but does not know which one finance certifies. A coding agent finds three runbooks and selects the obsolete version. A support copilot retrieves a document that the requesting employee should not have been able to access. An …
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Everpure’s Data Primacy Gets Real: Data Intelligence, AI Cost Control, and Storage Efficiency
When Everpure introduced Data Primacy at //Accelerate in June, the idea was clear but largely conceptual: organizations should build their architecture around their data rather than around the applications that happen to hold it. Now the company is putting the first building blocks of that vision into customers’ hands, starting with Data Intelligence File Edition, which maps a data estate using metadata such as location, size, and access patterns without reading the contents of every …
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VMware Migration Stalled? RackN CEO Rob Hirschfeld on Getting Unstuck
Three years into a VMware migration, and things aren’t going to plan? In this VMblog expert video interview, David Marshall talks with Rob Hirschfeld, CEO and co-founder of RackN, about what teams already in the …



































