AI Glossary

A quick handbook to learn some of the important AI terms from our Artificial Intelligence glossary. It consists of list of definitions of terms and concepts relevant to the study of artificial intelligence, its sub-disciplines, and related fields.

A

AI Solutions

AIOps

Algorithm

Artificial Intelligence

Augmented Analytics

Autonomous

B

Backward Chaining

Batch Data Processing

Bayesian Networks

BIAS

Big Data

Bounding Box

Business Intelligence

Business Rule Engine

Business Rules Management System

C

Case Management

Chatbot

Classification

Cloud-Native

Clustering

Cognitive Computing

Computational Learning Theory

Computer Vision

Corpus

D

Data Annotation

Data Blending

Data Catalog

Data Cleaning

Data Fabric

Data Lake

Data Lineage

Data Literacy

Data Orchestration

Data Preparation

E

Entity Extraction

Explainable AI

Extract, Load, Transform

Extract, Transform, Load

F

Feature Store

Forward Chaining

G

Genetic Algorithm

Guided Analytics

H

Heuristic

Hyperparameter

I

Image Recognition

L

Labeling

Limited Memory

Linguistic Annotation

Log-Based Change Data Capture

M

Machine Intelligence

Machine Translation

Microservices

MLOps

ModelOps

N

Natural Language Understanding (NLU)

Neural Network

NLG

NLP

NLQ

O

Online Analytical Processing

Online Transactional Processing

Optical Character Recognition (OCR)

Overfitting

P

Parameter

Pattern Recognition

Predictive Data Analytics

Predictive Modeling

R

Reactive Machines

Real-Time Streaming Data

Regression

Reinforcement Learning

Robotic Process Automation

S

SaaS

Self-Serve

Sentiment Analysis

Streaming Analytics

Structured Data

T

Transfer Learning

Turing Test

U

Unified data analytics

Unstructured Data

Unsupervised Learning

X

XOps

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