The data intelligence layer is responsible for executing advanced analytical pipelines, both predictive and prescriptive, on both the transformed batch data and stream-based event data. Advanced analytical pipelines may include artificial intelligence services such as image and speech analysis, cognitive computing, and complex reasoning, as well as machine learning models and natural language processing. Examples of open source, advanced analytical libraries and frameworks used to implement the data intelligence layer include the following:
- Apache Spark MLlib (API accessible via Python, R, Java, and Scala)
- TensorFlow (API accessible via Python, Java, C++, Go, and JavaScript, with third-party bindings available in ...
