Glossary
AI & Automation Glossary
Key terms and concepts explained clearly for business leaders and technical teams alike.
AI Agents
Autonomous software programs powered by artificial intelligence that can perceive their environment, make decisions, and take actions to accomplish specific goals.
API Integration
The process of connecting different software applications through their Application Programming Interfaces (APIs) to enable data exchange and coordinated functionality.
Business Process Automation (BPA)
The strategic use of technology to automate complex business processes and functions beyond simple individual tasks.
Conversational AI
Technology that enables machines to engage in human-like dialogue, understanding natural language input and generating contextually appropriate responses.
Data Pipeline
An automated series of steps that move and transform data from one or more sources to a destination system for storage, analysis, or further processing.
ETL (Extract, Transform, Load)
A data integration pattern that extracts data from source systems, transforms it into a suitable format, and loads it into a target system such as a data warehouse.
Intelligent Document Processing (IDP)
The use of AI technologies — including OCR, NLP, and machine learning — to automatically extract, classify, and process data from unstructured documents.
MLOps (Machine Learning Operations)
A set of practices that combines machine learning, DevOps, and data engineering to deploy, monitor, and maintain ML models in production reliably and efficiently.
Robotic Process Automation (RPA)
A technology that uses software robots to mimic human interactions with digital systems, automating rule-based tasks across applications.
Workflow Automation
The use of technology to automate repeatable business processes, reducing manual intervention and ensuring tasks are completed consistently and efficiently.