• Advanced Manufacturing

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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.

The 9 pillars of industry 4.0

  • Advanced Manufacturing
If we take a brief look back over previous industrial revolutions: mechanization (steam and coal), electricity (mass manufacturing, assembly line) and electronics and computing (automation thanks to information and communication technologies) we can see how these events caused cities and populations to develop, marking a turning point for economies and society as a whole.

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.