Enterprise Artificial Intelligence Definitions

This glossary explains the meaning of key words and phrases that information technology (IT) and business professionals use when discussing artificial intelligence and related software products. You can find additional definitions by visiting WhatIs.com or using the search box below.

  • D

    data science

    Data science is the study of where information comes from, what it represents and how it can be turned into a valuable resource in the creation of business and IT strategies.

  • data scientist

    A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals.

  • deconvolutional networks (deconvolutional neural networks)

    Deconvolutional networks are convolutional neural networks (CNN) that work in a reversed process.

  • deep learning (deep neural network)

    Deep learning is an aspect of artificial intelligence (AI) that is concerned with emulating the learning approach that human beings use to gain certain types of knowledge.

  • deep learning agent

    A deep learning agent is any autonomous or semi-autonomous AI-driven system that uses deep learning to perform and improve at its tasks.

  • developmental robotics

    Developmental robotics is the use of human psychology principles in the design of intelligent, autonomous robots that learn from their own individual experiences. This field is also known as epigenetic robotics.

  • Dialogflow

    Dialogflow is a natural language processing (NLP) platform that can be used to build conversational applications and experiences for a company’s customers in various languages and on multiple platforms.

  • E

    expert system

    An expert system is a program that uses artificial intelligence (AI) technologies to simulate the knowledge and judgment of humans. Expert systems usually include a subject-specific knowledge base and can have additional modules added to expand their capacities.

  • F

    facial recognition

    Facial recognition is a category of biometric software that maps an individual's facial features mathematically and stores the data as a faceprint.

  • fuzzy logic

    Fuzzy logic is an attempt to use more human-like reasoning and better reflect reality through employing"degrees of truth" rather than the usual "true or false" (1 or 0) Boolean logic on which the modern computer is based.

  • G

    generative adversarial network (GAN)

    A generative adversarial network (GAN) is a type of AI machine learning (ML) technique made up of two nets that are in competition with one another in a zero-sum game framework.

  • generative modeling

    Generative modeling is the use of artificial intelligence (AI), statistics and probability in applications to produce a representation or abstraction of observed phenomena or target variables that can be calculated from observations.

  • Google AutoML Vision

    Google AutoML Vision is a machine learning model builder for image recognition, offered as a service from Google Cloud.

  • I

    IBM Watson supercomputer

    Watson is an IBM supercomputer that combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a 'question answering' machine.

  • image recognition

    Image recognition, in the context of machine vision, is the ability of software to identify objects, places, people, writing and actions in images.

-ADS BY GOOGLE

SearchBusinessAnalytics

SearchCIO

SearchDataManagement

SearchERP

Close