5 Killer Apps for Artificial Intelligence in Manufacturing
Manufacturing has a very broad set of use cases for artificial intelligence including predictive maintenance, quality control, price forecasting, and
Topic: Predictive Maintenance
How real-time data is used to predict when an asset should be repaired, replaced, or its useful life extended.
Using Low Code and IoT to Optimize Spare Parts Inventory
Creating new applications using low code development platforms can lead to innovative solutions to old problems such as how to better manage spare parts …
Digital Manufacturing Grows Three-Fold in Two Years
Most manufactures (84%) are currently implementing or evaluating digital manufacturing strategies, whereas only 27% were doing so in 2018.
Researchers Collaborate on Prediction Tool for Building Energy Consumption
The accurate prediction of energy consumption at a specific time under many outside and inside conditions becomes an essential step to improve energy …
Predictive Maintenance: The Continuous Intelligence Killer App
CI based on analysis of sensor and IoT data can help spot state changes in devices and make predictions about an asset's failire
Real-Time Analytics in Big, “Brutal” Environments
Stanley Black & Decker's new service optimizes equipment and prevents costly downtime at dusty
What Enterprises Want Now from Industrial IoT
While industrial IoT held much promise, even one of its first general use cases involving predictive maintenance has failed to gain a lot of
Gulf of Mexico Oil Platforms Use Cloud-Based Analytics
The analytics solution, Plant Operations Advisor (POA), has been deployed across all four of its operated production platforms in the Gulf of
Case Study: Daikin Keeps its Cool — In Real-Time
Daikin, the world's largest heating, ventilation and air conditioning company, is making climate control smarter through real-time IoT and weather forecast …
Intelligent Remote Monitoring Powers Today’s Smart Factories
Our recent webinar with PTC explored how remote monitoring is transforming business models by putting analytics front and center of all
