// ROBOTICS AND SMART FACTORIES TERM
Industrial AI
The application of artificial intelligence technologies specifically tailored for industrial environments, such as manufacturing, energy, and logistics. It addresses the unique challenges of industrial data and operations.
TECHNICAL DEFINITION
Industrial AI refers to the specialized application of artificial intelligence, including machine learning, deep learning, and computer vision, to optimize complex industrial processes, enhance operational efficiency, enable predictive maintenance, improve quality control, and drive autonomous decision-making within manufacturing and other industrial sectors.
BACKGROUND
The Industrial Revolution, sometimes called the First Industrial Revolution in contrast to the subsequent Second Industrial Revolution, was a transitional period of the global economy toward more widespread, efficient and stable manufacturing processes, succeeding the Second Agricultural Revolution. Beginning in Great Britain around 1760, the Industrial Revolution had spread to continental Europe and the United States by about 1840. Economic historians agree that the onset of the Industrial Revolution is the most important event in human history, comparable only to the adoption of agriculture with respect to material advancement.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- AI for industry
- Manufacturing AI
- Enterprise AI (broader)
USAGE NOTE
Industrial AI solutions are designed to handle the unique challenges of industrial data, scale, and reliability requirements, often integrating with existing OT systems.
DEVELOPERS
Organizations developing technology related to Industrial AI.
A global technology powerhouse, Siemens provides comprehensive Industrial AI solutions, including AI-driven automation, digital twins, predictive maintenance, and quality control systems for manufacturing and process industries.
GE Digital leverages AI and machine learning within its Predix platform to deliver solutions for industrial asset performance management, operational intelligence, and manufacturing analytics, optimizing efficiency and preventing downtime.
A leader in industrial automation and information solutions, Rockwell Automation integrates AI into its products and services for smart manufacturing, including predictive analytics, process optimization, and intelligent control systems.
Honeywell develops advanced industrial AI solutions for process control, asset optimization, and worker productivity across various sectors. Their offerings include AI for predictive maintenance, supply chain optimization, and operational efficiency.
Bosch develops and implements AI technologies for its own manufacturing facilities and offers AIoT solutions to customers, focusing on predictive maintenance, quality inspection, and intelligent production systems within Industry 4.0.
Schneider Electric provides digital transformation solutions with AI integration through its EcoStruxure platform, enhancing energy management, industrial automation, and operational performance with predictive analytics and smart control.
IBM offers AI solutions, including IBM Watson, tailored for industrial applications such as supply chain optimization, predictive maintenance, quality assurance, and intelligent automation in manufacturing.
NVIDIA provides powerful GPU-accelerated computing platforms and software (e.g., NVIDIA AI Enterprise, Omniverse) that are fundamental for developing and deploying industrial AI applications, robotics, digital twins, and computer vision in manufacturing.
Augury specializes in AI-powered machine health solutions, using sensors and machine learning to predict and prevent machine failures, optimize asset performance, and enhance the reliability of industrial operations.