Glossary

Predictive algorithms or other machine

learning-based solutions: systems that

can learn from and make decisions and

predictions based on data.

Deep learning: a specific type of machine

learning that uses cascading layers of model

parameters to learn and represent a hierarchy

of concepts. Examples include speech and

image recognition.

Natural Language Processing or Generation:

systems that help computers analyze or

generate human language. Examples include

automated analysis of customer emails or

conversational technologies such as chatbots.

Computer vision: analyzing digital images or

videos and creating classifications or high-level

descriptions that can be used for decision making

and action.

Expert systems/rule-based systems: systems

that represent knowledge as a set of rules

(derived from human experts) that say what

to do or decide in different situations.