Machine Learning and Real-Time Analytics in Apache Kafka Applications
This article is very useful because it discuss and compare two different options for AI model deployment: model servers with remote procedure calls (RPCs), and natively embedding models into Kafka client applications. This example uses TensorFlow, but the underlying principles are also valid for other machine learning/deep learning frameworks or products, such as H2O.ai, Deeplearning4j, Google’s Cloud Machine Learning Engine,...
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