Mapping AI techniques to problem types

Mapping AI techniques to problem types

A view of new analytics techniques, focused on specific potential applications in business and the public sector.

As artificial intelligence technologies advance, so does the definition of which techniques constitute AI. This article uses AI as shorthand to refer to deep learning techniques that use artificial neural networks, and analyzes the applications of three in particular: feed forward neural networks, recurrent neural networks, and convolutional neural networks. We estimate the potential of these techniques to create value, as well as other machine learning techniques such as tree-based ensemble learning, classifiers, and clustering, and traditional analytics such as dimensionality reduction and regression.

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