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Industrial AI reference library

Industrial AI Algorithm Atlas

A visual guide to the algorithms powering industrial AI applications.

Industrial AI systems are built from a manageable number of fundamental algorithm families. This atlas explains what each algorithm does, how it works, where it creates value, and when each approach is appropriate.

Industrial AI Algorithm Atlas: AI methods connecting industrial data to decisions

The atlas covers learning approaches, prediction tasks, and AI system architectures. These categories overlap: an industrial solution may combine several of them. Explore the Equipment Atlas to see the machines behind these applications.

Machine Learning Foundations

4 topics
Supervised Learning in industrial AI: learning from labeled historical examples

Supervised Learning

Learning from labeled historical examples

Explore Supervised Learning
Classification in industrial AI: predicting categories such as healthy, warning, or failure

Classification

Predicting categories such as healthy, warning, or failure

Explore Classification
Regression in industrial AI: predicting a continuous numerical value

Regression

Predicting a continuous numerical value

Explore Regression
Time-Series Forecasting in industrial AI: predicting what happens next over time

Time-Series Forecasting

Predicting what happens next over time

Explore Time-Series Forecasting

Pattern Discovery

2 topics
Unsupervised Learning & Clustering in industrial AI: finding hidden patterns without predefined answers

Unsupervised Learning & Clustering

Finding hidden patterns without predefined answers

Explore Unsupervised Learning & Clustering
Anomaly Detection in industrial AI: flagging unusual behavior and early warning signals

Anomaly Detection

Flagging unusual behavior and early warning signals

Explore Anomaly Detection

Advanced Industrial AI

2 topics
Deep Learning & Computer Vision in industrial AI: learning complex patterns from images and sensor data

Deep Learning & Computer Vision

Learning complex patterns from images and sensor data

Explore Deep Learning & Computer Vision
Reinforcement Learning in industrial AI: learning better actions through reward and feedback

Reinforcement Learning

Learning better actions through reward and feedback

Explore Reinforcement Learning

Language and Knowledge AI

4 topics
Large Language Models (LLMs) in industrial AI: understanding and generating human language for industrial work

Large Language Models (LLMs)

Understanding and generating human language for industrial work

Explore Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG) in industrial AI: combining language models with trusted enterprise knowledge

Retrieval-Augmented Generation (RAG)

Combining language models with trusted enterprise knowledge

Explore Retrieval-Augmented Generation (RAG)
AI Agents in industrial AI: planning, using tools, and executing multi-step industrial workflows

AI Agents

Planning, using tools, and executing multi-step industrial workflows

Explore AI Agents
Multimodal AI in industrial AI: combining text, images, video, audio, and sensor data

Multimodal AI

Combining text, images, video, audio, and sensor data

Explore Multimodal AI