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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.
Confluent's Argument Is Simple: AI Doesn't Fail at the Model Layer. It Fails in the Pipeline
Timed to Current London, Confluent's latest releases address the compliance, connectivity, and workflow fragmentation that keeps enterprise AI projects in controlled environments and out of the real world.