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The Storage Wall: Why AI Is Breaking on Data, Not Compute
As inference workloads outpace compute growth, the constraint that decides whether AI projects succeed is no longer how much an enterprise can process, but whether it can control, trust and serve the data underneath. Two of the storage industry’s senior regional voices describe a shift that has moved storage from afterthought to foundation.
Confluent Moves to Close the Gap Where Enterprise AI Projects Quietly Die
The data streaming pioneer has shipped a wave of capabilities aimed at the security and engineering failures that stall most AI deployments before they reach a single customer, with Steve Fernandes arguing that real-time data has become the precondition the market can no longer treat as optional.