Glossary

Data Engineering for AI

A

AI Agents

AI-Enabled Knowledge Graphs

Agent Frameworks

AI Model Deployment

AI Model Monitoring

AI-Powered Decision Intelligence

AI-Powered Workflows

AI-Powered Document Processing (ADP)

AI in Cybersecurity

Algorithmic Risk Management

B

Big Data Analytics

Bias Mitigation in AI

Business Intelligence (BI) Automation

C

Conversational AI

Cloud AI Computing

Cognitive Process Automation

Custom LLM Training

Compliance Automation

D

Data Engineering for AI

Decision Intelligence Systems

Deep Learning (DL)

Data Labeling for AI

E

Edge AI

Enterprise AI

Explainable AI (XAI)

Enterprise AI

F

Federated Learning

Financial AI Workflows

G

Generative AI

Graph Neural Networks (GNNs)

H

Hyperautomation

I

Intent Recognition

IoT-Enabled AI

L

Low-Code AI Development

LLM-Based Knowledge Management

M

Machine Learning (ML)

Machine Translation

Model Drift Detection

N

Natural Language Processing (NLP)

P

Predictive Analytics

Process Mining & Intelligence

R

Risk Management AI

RPA + AI (Cognitive Automation)

S

Smart Data Integration

Supply Chain AI

Risk Management AI

T

Transfer Learning

Trustworthy AI

U

Unsupervised Learning

V

Vector Databases for AI

W

Workflow Automation

Data Engineering for AI

The process of preparing, transforming, and managing large-scale datasets for AI model training.