A

AI Agent
An autonomous software system that can perform tasks, make decisions, and interact with users or systems using artificial intelligence.

Artificial Intelligence (AI)
A broad field of technology focused on building systems that can simulate human intelligence, including reasoning, learning, and decision-making.

Automation
The use of technology to perform tasks with minimal human intervention, often improving speed, accuracy, and scalability.

API (Application Programming Interface)
A set of rules that allows different software systems to communicate and share data.

B

Business Process Automation (BPA)
Using software and AI to automate repetitive business workflows such as invoicing, onboarding, or customer support.

Big Data
Large and complex datasets that require advanced tools (like AI) to analyze and extract insights.

C

Chatbot
An AI-powered system that can simulate conversation with users, typically used in customer support or sales.

Computer Vision
A field of AI that enables machines to interpret and analyze visual data like images and videos.

CRM (Customer Relationship Management)
Software used to manage customer interactions, often enhanced with AI for insights and automation.

D

Data Annotation
The process of labeling data (text, images, etc.) so AI models can learn from it.

Data Pipeline
A system that collects, processes, and moves data from one place to another for analysis or AI use.

Deep Learning
A subset of machine learning that uses neural networks with many layers to process complex data.

E

Embedding
A numerical representation of data (like text) that allows AI systems to understand relationships and meaning.

F

Fine-Tuning
Customizing a pre-trained AI model with specific data to improve performance for a particular use case.

G

Generative AI
AI systems that can create content such as text, images, audio, or code.

H

Hallucination (AI)
When an AI model generates incorrect or misleading information that appears plausible.

I

Inference
The process of using a trained AI model to make predictions or generate outputs.

Intelligent Automation
The combination of AI and automation to handle complex, decision-based workflows.

L

Large Language Model (LLM)
An AI model trained on vast amounts of text data to understand and generate human-like language.

Latency
The time it takes for an AI system to respond to a request.

M

Machine Learning (ML)
A subset of AI where systems learn from data to improve performance over time without explicit programming.

Model
A trained AI system that can make predictions or generate outputs.

Multimodal AI
AI systems that can process multiple types of input, such as text, images, and audio.

N

Natural Language Processing (NLP)
A field of AI focused on understanding and generating human language.

Neural Network
A computational model inspired by the human brain, used in machine learning.

O

OCR (Optical Character Recognition)
Technology that converts images of text into machine-readable text.

P

Prompt Engineering
The practice of designing inputs to AI models to produce better outputs.

Predictive Analytics
Using data and AI to forecast future outcomes.

R

Retrieval-Augmented Generation (RAG)
A technique that combines AI generation with external data sources to improve accuracy.

S

SaaS (Software as a Service)
Cloud-based software delivered over the internet, often integrated with AI capabilities.

Supervised Learning
A machine learning approach where models are trained on labeled data.

T

Training Data
The dataset used to teach an AI model how to perform tasks.

Token
A unit of text (word or part of a word) used by AI models for processing.

U

Unsupervised Learning
A type of machine learning where models find patterns in unlabeled data.

V

Vector Database
A database optimized for storing and searching embeddings used in AI applications.

W

Workflow Automation
The use of software to automate sequences of tasks in business processes.

X–Z (Bonus Terms)

Zero-Shot Learning
An AI model’s ability to perform tasks without specific training examples.

Additional Terms 

AI Consulting
Advisory services that help businesses implement AI solutions effectively.

AI Integration
The process of incorporating AI into existing systems and workflows.

AI Strategy
A plan for how a business will adopt and use AI to achieve goals.

AI Transformation
A company-wide shift toward using AI to improve operations and decision-making.

Conversational AI
AI systems designed to interact with humans through natural language.

Decision Intelligence
Using AI and data to improve business decision-making.

Digital Transformation
Integrating digital technologies (including AI) into all areas of a business.

Knowledge Base
A centralized repository of information used by AI systems or humans.

Process Mining
Analyzing business processes using data to identify inefficiencies.

Robotic Process Automation (RPA)
Software robots that automate repetitive rule-based tasks.