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The use of machine learning (ML) models is becoming more and more common in industrial IoT applications, especially for use cases such as anomaly detection and predictive maintenance. ML models are typically trained in the cloud using large stored datasets and iterative processing on powerful servers.

The world has changed. Everything is spinning faster and faster and enterprises of today faces a number of serious challenges. The digital enterprise understands that there are opportunities to lead through a ‘data first’ approach.

Low Code development of Stream Analytics and Integration Pipelines. Innovate Faster with the Flow Studio, a drag-and-drop visual design tool.