6 Questions with a CPO: Why You Should Put Your Data in Motion

Shaun Clowes, Confluent’s Chief Product Officer, argues that organizations need to treat data as a live, real-time asset rather than as historical information stored in warehouses, since stale or poorly synchronized data can undermine competitiveness and customer experiences. Drawing on prior roles at MuleSoft and Atlassian, he says Confluent’s streaming approach helps decouple applications, improve developer productivity, and enable teams to reuse and enrich data products instead of repeatedly extracting and reshaping data across fragmented systems. He identifies governance, discovery, secure access, connectors, and pipeline-building tools as key components of Confluent’s platform, built on Apache Kafka, and highlights the planned integration of Apache Flink following Confluent’s acquisition of Immerok to expand stream-processing capabilities across batch and real-time workloads. Confluent’s broader goal is to help customers create a real-time, distributed source of truth that connects their many systems into a more coherent data ecosystem.

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