// ROBOTICS AND SMART FACTORIES TERM
Industrial Data
Information collected from machines, sensors, and processes within a factory or industrial setting. This data helps monitor performance, identify issues, and optimize operations.
TECHNICAL DEFINITION
Industrial data encompasses structured and unstructured datasets generated by operational technology (OT) and information technology (IT) systems in manufacturing, including sensor readings, machine logs, production metrics, and supply chain information, crucial for AI-driven analytics and process optimization.
BACKGROUND
The Fourth Industrial Revolution, also known as 4IR, Industry 4.0 or the Intelligence Age, is a neologism describing rapid technological advancement in the 21st century. It follows the Third Industrial Revolution. The term was popularized in 2016 by Klaus Schwab, the World Economic Forum founder and former executive chairman, who asserts that these developments represent a significant shift in industrial capitalism.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- OT Data
- Manufacturing Data
- Factory Data
- Production Data
- Sensor Data
USAGE NOTE
Analyzing industrial data is key to uncovering inefficiencies and predicting equipment failures.
DEVELOPERS
Organizations developing technology related to Industrial Data.
A global technology powerhouse, Siemens Digital Industries provides automation, digitalization, and software solutions, including its MindSphere platform for industrial IoT data collection, analysis, and application development in manufacturing.
PTC offers industrial innovation platforms and solutions, including ThingWorx, a leading industrial IoT platform for connecting devices, collecting and analyzing industrial data, and building applications for operational intelligence.
A leader in industrial automation and digital transformation, Rockwell Automation provides integrated control and information solutions, including their FactoryTalk software suite for managing production data, operations, and analytics.
AWS provides a comprehensive suite of cloud services, including AWS IoT SiteWise, specifically designed for collecting, storing, organizing, and monitoring data from industrial equipment at scale to gain operational insights.
Through Azure IoT, Microsoft offers cloud services and edge computing solutions for connecting industrial assets, ingesting vast amounts of operational data, and leveraging AI/ML for real-time analytics and predictive maintenance in manufacturing.
SAP provides enterprise resource planning (ERP) and digital manufacturing solutions that integrate operational technology (OT) and information technology (IT) data, enabling comprehensive industrial data management, analytics, and optimization across the value chain.
GE Digital focuses on industrial software, services, and cybersecurity, with its Predix platform specifically designed for industrial IoT, enabling the collection, analysis, and application of data from industrial assets to improve performance and efficiency.
Schneider Electric's EcoStruxure architecture and platform provide connected products, edge control, and apps/analytics for industrial operations, focusing on efficient management of energy and process data for sustainability and operational performance.