• Advanced Manufacturing

5 challenges for the metal and sheet metal cutting industry

  • Advanced Manufacturing
Ultimately, the crux of the matter is to optimize plant production in order to mass-produce customized parts without increasing costs and while also boosting productivity, that’s why using Industry 4.0 enabling technologies is vital. We’re talking about both the sensorization of plants with Internet of Things (IoT) technology and advanced software developed using Artificial Intelligence and Machine Learning hosted in Cloud environments.

Opportunities of the digital transformation of industrial machinery

  • Advanced Manufacturing
When facing the current environment of Volatility, Uncertainty, Complexity and Ambiguity (VUCA) which is also highly competitive, the digitization of industrial material is an essential differential value in order to quickly adapt to market requirements. It’s a must in order to optimize plant production and respond to new consumption habits that require agile, personalized manufacturing in record times.

How machine learning will revolutionize manufacturing

  • Machine Learning
Let’s think for a moment about the high volume of data generated by companies. Data about customers, suppliers, productivity, human resources... Information that, in many cases, is not integrated into all business departments so there is no overall vision or, what is worse, it is not even digitized. Both weaknesses stall decision making and/or can lead to wrong decisions. And in this new digital ecosystem, data is the raw material of Industry 4.0.