Apache Kafka and Machine Learning for Real Time Supply Chain Optimization in IIoT

Posted in Analytics, Apache Kafka, Big Data, Business Intelligence, Cloud, Confluent, Deep Learning, IIoT, Integration, Internet of Things, Kafka Connect, Kafka Streams, KSQL, Machine Learning, MQTT, Open Source, PLC4X, Stream Processing, TensorFlow on August 23rd, 2019 by Kai Wähner

I did a webinar with Confluent‘s partner Expero about “Apache Kafka and Machine Learning for Real Time Supply Chain Optimization“. This is a great example for anybody in automation industry / Industrial IoT (IIoT) like automotive, manufacturing, logistics, etc.

We explain how a real time event streaming platform can integrate in real time with the legacy world and proprietary IIoT protocols (like Siemens S7, Modbus, Beckhoff ADS, OPC-UA, et al). You can process the data at scale and then ingest it into a modern database (like AWS S3, Snowflake or MongoDB) or analytic / machine  learning framework (like TensorFlow, PyTorch or Azure Machine Learning Service).

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