Download this white paper to learn:
- Advantages and use cases of machine learning (ML) across industries
- Training and deployment of ML models using StreamAnalytix
- Model management using StreamAnalytix
- How to operationalize models using StreamAnalytix
Enterprises use ML for its advantages like high-speed data processing, real-time insights, consistent decision-making, reusability, and extensibility across use cases like:
Flight search analysis
Drug delivery optimization
Next best offer
Loyalty program performance
Social media analysis
This paper details how you can build, train, test, score, manage, and operationalize ML models using StreamAnalytix – a self-service ETL and analytics tool. The platform helps enterprises create batch and streaming ETL pipelines using drag-and-drop operators on a visual IDE. It has a wide array of built-in operators for data sources, transformations, ML, and data sinks.
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