I am happy that my first official Confluent blog post was published and want to link to it from by blog:
How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka
The post explains in detail how you can leverage Apache Kafka and its Streams API to deploy analytic models to a lightweight, but scalable, mission-critical streaming appilcation.
If you want to take a look directly at the source code, go to my Github project about Kafka + Machine Learning. It contains several examples how to combine Kafka Streams with frameworks like TensorFlow, H2O or DeepLearning4J.
ERP vendor selection for manufacturing is not a product decision. It is a strategic bet…
Process intelligence is not a single tool. It combines process mining, process orchestration, and a…
ERP modernization fails when the technology leads and the process work follows. Three German manufacturers…
Most organizations start their data governance journey by asking how to track where data comes…
Every enterprise is being told to go agentic. Meanwhile, the platforms holding your most critical…
AI agents fail in production when they are connected directly to raw event streams. Flink…