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Selected topic: industry-4-0, posts found: 4

Data Governance: the data you need to protect and the data you need to share

Laura Pisano,

In today’s factories the development of the 4.0 Industry allowed the introduction of technologies aimed at the exploitation of data. The data we’re talking about comes in the form of information about productive processes that are useful to control the productivity activities and react to possible new requests coming from clients or changes related to the market.
Predictive maintenance, resources provisioning and supply chain optimization are only some examples of activities where Big Data is useful to succeed. This considerable amount of data has to be protected and treated in a safe way, given its critical potential for the success of businesses. But, which are the data you should protect and which are the data you should share? We’ll cover this topic in this article.


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7 Steps to building the Perfect Smart Factory

Daniele Cardesi,

In the Industry 4.0 field,  the term “Smart Factory”, which literally means “Intelligent factory”, stands for an highly digitalized and connected production structure, that has considerable production results and is supported by data and technologies. The aim of the smart factory is to increase productivity and reduce operational costs by working on all the aspects of the productive process: from digital networks  to the virtual definition of the product, the remote production and maintenance and the integration with IT systems and analysis. Given this context, which are the steps you need to take to build the perfect smart factory?

 

 

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The advanced guide to the implementation of Big Data Management in 4.0 Industries

Laura Pisano,

 

With the fourth industrial revolution, Big Data Management, which can be defined as the activity of managing the considerable amount of information coming from the dynamic productive processes of smart factories, is becoming a topic of increasing importance in a context where a growing number of businesses is trying to be part of the Industry 4.0.
Using intelligent automated systems to allow communication between machineries and productive environments is a complex process, but how can you implement with success a Big Data Management system from a Industry 4.0 point of view?

Let’s see how it’s done with this guide to the implementation of Big Data Management in 4.0 Industries.

 

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The 4th Industrial Revolution explained in less than 10 minutes

Samuele Di Cataldo,

The fourth industrial revolution identifies a new era in which industries, driven by the need to compete in a global market, find in technological innovation the answer to stay efficient, improve the organization and the quality of the work and reduce production costs.
Between 2011 and 2012, in the Industry 4.0 and Smart Manufacturing manifesto, the principles and some long-term strategies for the digitalisation of the manufacturing industry have been defined, bringing together businesses, research centers and trade associations.

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