The seven patterns are: hyperpersonalization, autonomous systems, predictive analytics and decision support, conversational/human interactions, patterns and anomalies, recognition systems, and goal-driven systems.’

Graphic from Cognilytica

Cognilytica analyst Kathleen Walch distills a wide range of possible use cases in AI tech into seven discernible patterns. Her article discusses each one.

Walch suggests the seven types may be mixed and matched by circumstances.

Early identification is meant to help organizations be more efficient in AI implementations.


The Seven Patterns Of AI
FORBES | September 17, 2019 | by Kathleen Walch