Engineers as Data Scientists?

How the Trends of IoT and Big Data can be connected

Christianlauer
CodeX

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Photo by ThisisEngineering RAEng on Unsplash

It is already a reality in many areas that employees from a wide range of corporate divisions are being trained in IT and data affinity. Activities that can be automated are being eliminated, and employees are taking on more tasks, e.g. in the area of data analysis. This trend can also be observed in the field of engineering.

In manufacturing, for example, data science can be used to identify patterns that lead to equipment failure or generate forecasts for individual assets, in agriculture crop yields can be increased and in the wind power industry weather data can be used to generate more energy. These are just a few examples. Not only trained data scientists can implement such projects. With the right software, engineers from areas such as mechanics, renewable energy and many other engineering domains can work similarily like data scientists.

Illustration of Predictive Maintenence with Cars — Image Source: Intuceo[1]

Industrial manufacturing processes are more and more controlled by algorithms and artificial intelligence in order to reach automatisation and better efficiency. However, the amount of information is becoming bigger due to the networking of machines…

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Christianlauer
CodeX
Editor for

Big Data Enthusiast based in Hamburg and Kiel. Thankful if you would support my writing via: https://christianlauer90.medium.com/membership