Do we still need data scientists? The sexiest job of the 21st century may now seem outdated. Today, training a random forest or a neural network is a matter of a few lines of code or even clicks. Every software vendor promises to turn you into a "citizen data scientist" thanks to their fantastic tools, so trying to understand the statistical and mathematical facts behind our data seems like a waste of time but is it really? When you've finished this article I hope you'll agree with me that it's not the tools we use that define us as data scientists but our understanding of the data, All the knowledge needed to understand the following can be found in the first part of this article.

Industry 4.0 has been dubbed the next industrial revolution, with many analysts expecting the digitalisation of manufacturing to revolutionise how goods are processed and produced. Global consulting firm PwC surveyed more than 2,000 'first movers' from nine major industrial sectors to see how they approached Industry 4.0. Performance improvements will be made with smart manufacturing initiatives like integrated planning, scheduling, and predictive maintenance. This is because intelligent machines are available permanently and without interruption. They can identify and report when they need to be serviced or have parts replaced.