Big data in Industry 4.0. Thus, highlighting how to use the vast amount of data better today to improve industry decision-making.
As already said. Nowadays, industries have been generating a very expressive volume of data. And that amount only grows in volume and speed. Such growth makes it increasingly necessary to use specialized techniques to deal with the situation.
As a complicating factor, the industries have not been able to give vent to analyzing the data generated by their various sensors, actuators and systems. For example, we can mention the millions of events recorded during the operation of any industrial plant, which the millions store.
Although the ideal brought about by big data seems promising, little is proactively used of this data. Often they are only remembered in moments of incidents when they need to be analyzed manually.
Hence the importance of efficient data processing, aiming at excellence in the use of collected data. This is where big data in Industry 4.0 becomes critical to solving problems of this nature.
At this point, we can discuss the leading techniques and tools to obtain the expected results in data analysis. Currently, several terms are cited, varying with the source of information, but all are related to the optimized information analysis.
Machine Learning represents a much deeper analysis method that uses algorithms capable of storing and structuring knowledge. In this sense, these algorithms can learn about a given problem interactively. This process is based on the data presented to the machines and conditions them for learning. Thus allowing computers to find hidden possibilities and insights, even when they are not necessarily programmed to look for something specific.
Gathering everything we have learned so far, it is possible to conclude that, when it comes to big data in industry 4.0, these are not only allies but fundamental to each other.
In this way, finding errors more efficiently and making adjustments and corrections in processes more quickly are some of the numerous benefits this duo can provide. Collecting, analyzing and using data with maximum efficiency represents gains in various spheres of the industry.
Thus, when considering big data as a decision-making model in industry 4.0, some aspects of improvement are expected, such as:
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