"Confluent connects data sources and cleans up data. It built its service on Apache Kafka, an open-source distributed event streaming platform, sparing its customers the hassle of buying and managing their own server clusters in return for a monthly fee per cluster, plus additional fees for data stored and data moved in or out. IBM expects the deal, which it valued at $11 billion, to close by the middle of next year."
"IBM already has the pieces of the puzzle required to build and train AI models; Confluent provides the connective tissue to saturate those models with continuous live data from across an organization's entire operation, regardless of the source. This capability should pave the road ahead for more complex AI agents and applications that will be able to react to data in real time."
IBM agreed to acquire Confluent for $11 billion to expand hybrid cloud and AI capabilities and to drive product synergies across its portfolio. Confluent offers a cloud-native enterprise data streaming platform built on Apache Kafka that connects, cleans, and moves data while removing the need for customers to manage server clusters. The acquisition enables continuous, event-driven intelligence by feeding live operational data into AI workflows and models. IBM expects the deal to close by mid next year. Confluent’s capabilities aim to enable real-time monitoring and more responsive, complex AI applications.
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