Streaming based machine learning predictions are very useful when it comes to high traffic and democratizing predictions of models in organizations.

Let’s examine a use case where a streaming based machine learning system is more efficient compared to real-time (synchronous) predictions (RESTful in most cases) and batch predictions.

You’re leading the recommenders system team at a e-commerce company and your goal is to develop a model that will power product recommendation carousels in many parts of the website using the same model. After some data analysis, you concluded that recent user behaviour is crucial signal for delivering high quality product…

Pavlos Mitsoulis

Staff Data Scientist @ Expedia Group, AWS ML Hero and Co-Creator of Kenza & Sagify #machinelearning, #deeplearning #softwareengineering

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