KuppingerCole Report
Leadership Brief
By Anne Bailey

Assessing the Maturity of Core AI Disciplines

There are several disciplines that contribute to the Artificial Intelligence field: Natural Language Processing, Machine Learning, Machine Reasoning, and others. This Leadership Brief addresses their varying maturity levels for enterprise use.
By Anne Bailey

1 Executive Summary

Artificial intelligence (AI) is too broad of a concept to assess as a whole. To discuss AI more accurately, we need to recognize it as an umbrella ter ...

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2 Analysis

Categories of AI

Artificial Intelligence is an umbrella term for multiple disciplines. The disciplines that belong to AI are fluid, changing as new ...

The maturity of NLP applications for narrow tasks varies according to the goal. Language recognition is the most mature, with computer recognition of ...

Supervised ML has a medium/high maturity. Algorithms that are trained using supervised methods are fed a labeled dataset and learn its task by guessin ...

The maturity of expert systems is high. Expert systems are a fairly traditional product of early AI research that relies on a knowledge base and an in ...

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3 Recommendations

NLP is Better for Passive Actions

Language understanding tasks such as classification, query searches, translation, speech-to-text, voice recognitio ...

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