Artificial intelligence for the enterprise: A beginner’s guide – November 2025

Author/Source: Red Hat See the full link here

Takeaway

This ebook offers a fundamental understanding of artificial intelligence (AI) specifically tailored for businesses, clarifying its core concepts and practical applications. It helps readers grasp how AI can transform enterprise operations and the crucial factors for its successful integration.

Technical Subject Understandability

Beginner

Analogy/Comparison

Imagine AI as a highly skilled personal assistant who can learn incredibly fast by observing countless examples. This assistant then uses that knowledge to help you with complex tasks like sorting through vast amounts of information, predicting future trends, or even generating new ideas, much like a master chef who learns from thousands of recipes to invent new dishes.

Why It Matters

AI is a game-changer for businesses, making operations more efficient, creating new opportunities, and enhancing customer experiences. For example, a bank could use AI to detect fraudulent transactions in real-time by analyzing patterns in financial data, protecting both the bank and its customers from significant losses.

Related Terms

Artificial Intelligence (AI)
Machine Learning (ML)
Deep Learning
Natural Language Processing (NLP)
Computer Vision
Data
Infrastructure
Open Source

Jargon Conversion:
Artificial Intelligence (AI): Computer systems capable of performing tasks that typically require human intelligence, such as learning, understanding, and problem-solving.
Machine Learning (ML): A branch of AI where computer systems learn from data without being explicitly programmed, improving their performance over time.
Deep Learning: A more advanced type of machine learning that uses complex, multi-layered neural networks to learn from very large datasets, often used for tasks like image or speech recognition.
Natural Language Processing (NLP): AI technology that enables computers to understand, interpret, and generate human language.
Computer Vision: AI technology that allows computers to “see” and interpret visual information from images and videos.
Data: The raw facts, figures, and information that AI systems process and learn from.
Infrastructure: The foundational hardware and software systems needed to develop, deploy, and operate AI applications.
Open Source: Software whose original source code is made freely available and can be legally modified and redistributed by anyone.

Tech Teacher