AI/MCP Concepts

AI/MCP concepts focus on the principles and technologies behind Artificial Intelligence (AI) and Machine-Controlled Processes (MCP). These include automation, machine learning, decision-making algorithms, and intelligent systems that enhance operational efficiency and reduce human error.

Categories:

Deep Learning

AI/MCP Concepts

Deep learning is a subset of artificial intelligence (AI) that uses multi-layered neural networks to learn complex patterns from large amounts of data. It enables machines to perform tasks such as image recognition, natural language understanding, and decision-making without explicit human programming.

Artificial Intelligence (AI)

AI/MCP Concepts

Artificial Intelligence (AI) refers to computer systems that perform tasks typically requiring human cognition, such as reasoning, learning, perception, and decision-making. In enterprise contexts, AI spans from predictive analytics and language models to fully autonomous agents capable of executing multi-step workflows across software environments.

AI Agent

AI/MCP Concepts

An AI agent is an autonomous or semi-autonomous software entity that can perceive inputs, reason over context, and take actions toward a goal without direct human control. Unlike traditional rule-based automation, AI agents can dynamically plan, execute, and adapt across digital environments using large language models (LLMs), APIs, and integrated tools.

Agentic Workflow

AI/MCP Concepts

An agentic workflow is an automated, goal-driven process executed by AI agents that can independently plan, make decisions, and act across multiple systems to complete complex tasks. Unlike traditional automation scripts, agentic workflows operate with adaptive reasoning, deciding how to achieve outcomes based on context and available tools.

Blended Identity

AI/MCP Concepts

The integrated user’s identity, permissions and context with an autonomous agent’s operational identity to enable safe, effective action. It ensures agents can perform tasks on behalf of users without becoming over-privileged or violating security boundaries and while being auditable.

Self-RAG

AI/MCP Concepts

An advanced RAG method where the LLM itself generates specialized retrieval queries and critically evaluates the quality of the retrieved documents, refining its own generation process autonomously.

Agentic AI

AI/MCP Concepts

Agentic AI refers to artificial intelligence systems that can pursue goals, make decisions, and take real-world actions with varying levels of autonomy, often operating independently, but still benefiting from human oversight or feedback when needed.