Data-based decisions

Cloud, Analitycs, Big Data, Deep learning, Artificial Intelligence, augmented reality… these and other concepts, that were already around before the pandemic, have now got some real-world solutions in industrial applications. Their aim is helping industry to optimize its processes through safe and effective digitization.

There has been a considerable amount of publicity about the advantages of cloud computing and rightly so. The advantages are clear as it removes the need to have skilled people to set up and run complex in-house computer networks and also takes away the need to invest in expensive equipment and continually reinvest to keep it up to date.

Is this process sufficiently agile, fast, flexible, and to what extent should it be standardized, or should it be custom-made?