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 availa ...

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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 ...

Supervised learning

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

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

*Example: ...

Unsupervised learning

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

Anomaly detection

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

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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 s ...

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Copyright

©2019 KuppingerCole Analysts AG all rights reserved. Reproduction and distribution of this publication in any form is forbidden unless prior written permission. All conclusions, recommendations and predictions in this document represent KuppingerCole´s initial view. Through gathering more information and performing deep analysis, positions presented in this document will be subject to refinements or even major changes. KuppingerCole disclaim all warranties as to the completeness, accuracy and/or adequacy of this information. Even if KuppingerCole research documents may discuss legal issues related to information security and technology, KuppingerCole do not provide any legal services or advice and its publications shall not be used as such. KuppingerCole shall have no liability for errors or inadequacies in the information contained in this document. Any opinion expressed may be subject to change without notice. All product and company names are trademarksTM or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

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