• Advanced Manufacturing

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.

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.

Extended Digital Transformation, when the collaborative environment becomes a business model

  • Advanced Manufacturing
The digital ecosystem leads us to create collaborative environments in which we can grow as technological partners, sharing ideas from internal sources (the company itself) and external ones (customers, suppliers, the competition, the market) to develop advanced technological solutions. This is what we call Extended Digital Transformation, a concept that combines the best value propositions of all the agents involved in the process of innovation, with the aim of being more efficient and more productive in the competitive era of Industry 4.0.