• Digital Transformation

5 mistakes to avoid in the digital transformation of your plant

  • Advanced Manufacturing
Whatever the size of your factory, it’s time for all organizations to embark on the journey towards digital transformation in an aim to get the most out of the plant by applying the different solutions offered by Industry 4.0 (Artificial intelligence (AI), Machine learning (ML), Big data, Cloud, Data Analytics, Internet of Things (IoT) or Digital Twin) throughout the whole production chain.

Business Intelligence: accessibility, agility and knowledge to lend continuity to business

  • Advanced Manufacturing
The raison d’être in industry is the transformation of raw materials into suitable products that satisfy people’s requirements and, by extension, those of the market. The quantity of processes performed and the parties that have to intervene to make this transformation possible vary depending on the sector or the purpose of the product. Coordinating all of the above is complicated as it generates data which is both ample and extremely diverse and to which other variables are added, such as the market, external factors, the competition... the information keeps on growing! Knowing how to process it to find out which type of data we have and which can truly add value, streamlining processes, identifying trends, reducing uncertainty, making forecasts and being able to react in time is critical for any sector’s industry.

Technological progress of Thermal cutting: from Oxycut to Fiber Laser

  • Advanced Manufacturing
Historically, different material cutting technologies have been developed for different sectors of the market, each with its advantages but also disadvantages and limitations. Usually they have been developed around a single type of cutting, but for some time now combined methodologies are being used, such as water and plasma, punching and laser or punching and shearing.