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Artificial Intelligence as a means of efficiency for Industries

Understand how Artificial Intelligence has become a differential for industries in the most diverse operating areas, with practical examples.

What is the concept of Artificial Intelligence?

Artificial Intelligence, basically, makes the machines have a level of intelligence to develop different capacities. Without these skills, they would need a human in order to work.

AI is capable of learning, solving problems, and even making decisions, all based on a lot of logic.

However, for all of this to happen, artificial intelligence needs to be fed back with new information, so that its intelligence can assemble more and more logic and be effective.

For example, when contacting a bank chatbot, we may ask: 

  • How can I pay for my credit card in installments?

The answer given to the intelligence is that the step by step is X, Y, Z.

But when we say:

  • I want to pay for my credit card in installments.

Because the chatbot hasn’t been fed with a response to that statement, it will signal that it has no answer.

Thus, when we inform the chatbot that the answer should be the same, Artificial Intelligence will learn structures and formats of similar questions and keywords to be more and more effective.

How does Artificial Intelligence apply in Industries?

Many changes have emerged in the industries as a result of Industry 4.0, among which stands out the increasing participation of Artificial Intelligence.

Whether through automated processes, which use large volumes of data to make decisions. Or with the use of sensors to make machinery safer, Artificial Intelligence supports the deployment of Industry 4.0.

In this sense, Artificial Intelligence can be used in different industrial processes and departments. Basically, it can be applied in any situation where data are available and they can be used to support decision making.

In addition to the possibility of support in monitoring the time of production cycles, the amount of material used and providing information on how to organize a production line in an increasingly efficient way.

That is why machines which use artificial intelligence are capable of carrying out various difficult or dangerous tasks for humans. Amongst them: 

  • To be in contact with toxic raw material;
  • To inspect all products on a production line
  • To analyze microscopic components;
  • In addition to working long periods without pause. 

The applications and benefits for the industry are innumerable, below are the ones that stand out the most: 

Cost reduction

With the use of artificial intelligence in the industry it is possible to solve several problems. Among them, preventing errors, structuring the production chain based on data, and optimizing human resources in operational activities.

The use of Artificial Intelligence makes it possible to automate complex tasks. Thus, mitigating errors and providing the reallocation of human resources for more strategic, complex, and dynamic tasks.

In addition to the possibility of faster and safer decision-making and the prediction of demands with high reliability. All this generating efficiency in processes and cost reduction. 

Preventive maintenance

Artificial intelligence in the preventive maintenance of industries can be implemented for two purposes. The first: to monitor industrial equipment. And the second: to anticipate possible failures at the end of the production process.

Systems with artificial intelligence learn the regular specifications of the equipment and its behavior through data. In this way, they collect information via sensors on products, by which it is possible to identify the first signs of any reduction in performance.

Therefore, it is possible to remove the product from the production line before it generates more errors and costs.

It works as follows:

  1. Sensors identify the fault in the product, through vision systems. In these, artificial intelligence is able to view, capture, relate and transmit information about product quality with agility and very high reliability.
  2. The machine emits an alert (visual and/or audible).
  3. The maintenance team solves the problem, avoiding pauses in the production line and rework of batches.

Thus avoiding waste, rework, and unnecessary maintenance. And above all, valuing the efficiency, reputation, and credibility of the brand. 

A great number of companies already use this technology and have obtained improvements

Whether in industry, e-commerce, streaming platforms or so many other areas. Artificial Intelligence has come to take companies to another level in countless aspects. Among them, the customization of service, security, and management of demand and suppliers.


It uses algorithms based on artificial intelligence to support the recommendation of products to buyers. Furthermore, in forecasting demand to suppliers.

It also uses a chatbot to communicate with customers. And it claims to be able to supply 90% of its customers’ requests without human intervention.

The implementation of these technologies enabled an increase of US$ 7.2 billion in sales in a single day when compared to the results of the previous year. 


Artificial intelligence and data analysis allows Netflix to deliver personalized user-focused services.

As a consequence, these characteristics highlighted it in the entertainment sector and placed it in the position of the world leader in streaming services. 


Google uses artificial intelligence for several of its services, such as:

  • Google search for recommendation and ranking of sites;
  • Google Photos for recognition and grouping of images;
  • Gmail for a suggestion of texts when writing an e-mail;
  • Google Maps to trace the shortest route from one point to another and several other applications.

That is, the core activities of this company would not be viable without this technology.

Aquarela + São Carlos Group

This partnership between companies develops a set of intelligent mechanisms for the refrigeration industry and service. Therefore, preventing failures and optimizing maintenance processes.

Artificial intelligence identifies critical factors for preventive and corrective maintenance from data.

This control is visual through online panels. Thus, the status of the equipment is monitored in real-time. This generates an optimized list of procedures for the prevention of failures. 


Japanese automaker Nissan has invested in the digital transformation of its processes, with a focus on Industry 4.0.

The company directed its focus towards the optimization of ERP systems with technological tools, including Artificial Intelligence. These fronts provide information improvement in a safe way between processes, allowing business insights.

Artificial Intelligence, in the digital transformation we are experiencing, has become an important support for the implementation of Industry 4.0.

In this way, there is more efficiency and higher quality in the industry. Therefore, this technology is an essential item for companies that want to remain competitive in the market.


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