Classification Based on the Solution:

Cognitive Use Cases:

Robotic Process Automation (RPA), which is commonly bucketed under artificial intelligence, is a case of induced intelligence. Using RPA tools, manual user actions are mimicked by IT systems. RPA is typically used in less frequently occurring manual actions, which do not justify a business case for full-fledged automation.

Machine Learning: Machine learning is a set of tools and techniques, in which intelligence is learned by algorithms and not induced. These systems analyze historical data patterns to extract intelligence and convert them into business rules.

Classification:

Nature of the problem (Regression, Classification, Clustering, etc.) – Number of data records available for training – Decision support or cognitive use case? – Need for explain-ability

Classification Based on Nature of Inputs:

The deep learning methods include convolutional neural networks (CNN), recurrent neural networks (RNN) and long short-term memory (LSTM).

Based on the above description, we can classify machine learning use cases into 2 categories: – Decision support use cases – Cognitive use cases