KuppingerCole Report
Leadership Brief
By Roland Bühler

AI and Machine Learning — The Basics in a Nutshell

Artificial intelligence is becoming more and more important for various applications in almost all industrial sectors. This leadership brief gives a basic overview of the main principles of artificial intelligence (AI), with a strong focus on machine learning (ML). Typical use cases are illustrated based on some examples — with a marketing and identity management-oriented focus.

1 Executive Summary

AI and ML will be game changers and will strongly influence business models and business processes.

Depending on the particular task and the availab ...

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2 Analysis

AI, machine learning, deep learning

First of all, it is important to distinguish three terminologies:

  • Artificial Intelligence (AI): The science ...

Supervised learning

Typically, supervised learning comes into play when a labeled data set exists that can be used for training, cross validation, a ...

In contrast, many machine learning algorithms are focused on classification, e.g., to predict whether a certain condition will occur.

Example: Av ...

Unsupervised learning

A typical use case of unsupervised learning exists if there is unlabeled data that should be structured or clustered. In this ...

Anomaly detection

A further technique — often based on unsupervised learning — is anomaly detection. The aim here is to detect unusual data sets.

E ...

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3 Recommendations

Strategy first?

There is no doubt that AI is a megatrend that will significantly change the way we use IT in the future. ML may be a stepping stone ...

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