• Digital Transformation

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.

Digitalization and remote working: two concepts combined to bring us the opportunity to work everywhere

  • Advanced Manufacturing
As we saw at the start of the pandemic, digitized companies have been those best able to overcome the limitations of confinement. They have also had, and continue to have, the greatest potential to succeed in these times of uncertainty. In times of coronavirus, the value of connectivity has been recognized for its ability to enable productive activity to continue through remote working.

When faster and more effective client response comes down to optimizing workloads

  • Advanced Manufacturing
The tendency in today’s world is to manage in an increasingly intelligent way and, unsurprisingly, this affects the industrial environment, the plants and industrial facilities in which the real-time planning and optimization of productive processes is fundamental for a business’ competitiveness. In practice, this is made possible through the incorporation of Industrial Internet of Things (IIoT) systems that streamline business processes and significantly improve productivity. The "all connected" and "in time" production trend is now a reality, but this race towards innovation has its advantages and its disadvantages.