How Industry 4.0 and IIoT Work Together for Industry
While many companies have already embraced IIoT, they must now adopt Industry 4.0’s commitment to data-driven digital
How real-time analytics is used in the manufacturing sector, such as for predictive maintenance, production optimization, and flaw detection.
While many companies have already embraced IIoT, they must now adopt Industry 4.0’s commitment to data-driven digital
Network automation developers assure automation software is installed correctly and automated processes function
Creating new applications using low code development platforms can lead to innovative solutions to old problems such as how to better manage spare parts …
Low code lets citizen developers get solutions on the board without waiting for IT, while also retaining oversight to ensure security.
Software AG’s General Manager of API, Integration and Microservices talks about digital transformation challenges and the technologies companies can use to …
In this week's real-time analytics news: Three industry efforts aim to address the challenges of developing and deploying artificial intelligence apps, and …
Leading companies are using artificial intelligence in printed circuit board designs and generating embedded codes based on the circuit's
Blockchain doesn’t just improve existing industry applications, it overturns our very understanding of how those industries can operate.
The goal of the optimization algorithm is to make it easier for businesses to understand the potential of their robotics
Data Democratization is expected to spearhead the move to providing Equipment as a Service, which requires a fundamental adoption of new ways of thinking and …