
"Transactions happen in milliseconds, and AI decisions need to happen just as fast. With Confluent, we are giving clients the ability to move trusted data continuously across their entire operation so their AI models and agents can act on what is happening right now."
"Confluent has more than 6,500 customers, including 40 percent of the Fortune 500. The platform is built on Apache Kafka, the open-source standard for data streaming. This means Confluent is at the operational core of many large enterprises, ranging from financial services providers and healthcare institutions to manufacturing companies and retailers."
IBM completed its acquisition of Confluent, a data streaming platform built on Apache Kafka, for approximately $11 billion at $31 per share. Confluent serves over 6,500 customers, including 40 percent of Fortune 500 companies across financial services, healthcare, manufacturing, and retail sectors. IBM is integrating Confluent into its AI portfolio, including watsonx.data and IBM Z, to deliver real-time data to AI models and agents. The strategy addresses a critical challenge: most organizations have scattered, outdated data that delays AI decision-making. With Confluent's integration, live operational events flow directly to analytics and AI workflows, enabling models to operate on current business information. This integration extends to IBM MQ and webMethods Hybrid Integration, providing high-scale event streaming for applications and AI agents across hybrid environments.
#ai-and-machine-learning #data-streaming #enterprise-acquisition #real-time-data-processing #hybrid-cloud-integration
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