AI in the industry is already a reality that radically revamps the relationship between man and machine. The implementation of AI has been consolidated in home automation processes, video games, and data analysis, and it is no different in the industrial production system.
In this sense, industry 4.0 deals precisely with implementing data intelligence technologies, the Internet of Things, and cloud storage, among others, to improve the efficiency of processes and place machines as an inseparable part of the decision-making process.
In this article, we will specifically talk about how artificial intelligence in the industry has changed the entire way of operating enterprises worldwide, in addition to the main benefits of the fourth industrial revolution. Come with us!
How Does Artificial Intelligence Work In Industry 4.0?
The implementation of artificial intelligence in industries came to make the productive system more autonomous and efficient without depending, as before, on human interference.
Technologies such as big data and machine learning are at the heart of this innovation that will make machines begin to perceive processes, learn responses from pre-established patterns and act autonomously but complementary to human action.
This integration allows for better communication between the department and a better alignment concurrent with strategic planning, which results in cost reduction, better efficiency, and quality in the services provided to the final consumer.
Today, technology allows integration between the production line and the delivery of the best possible shopping experience for the customer. Let’s go to the examples!
Examples Of Application Of Artificial Intelligence In Industry 4.0
There is nothing better than explaining artificial intelligence in industry 4.0 through illustrative examples. Big data, for example, is a technology capable of collecting, filtering, and analyzing a vast amount of data quickly and efficiently, thus avoiding the need to dedicate a long and exhausting human manual work to deal with the entire amount of information. Currently available.
In industrial processes, this technology is already used in association with AI. Thus, it is now possible to monitor production through sensors that collect information in real-time, from the supply of raw materials to the delivery of the product to the final consumer.
Still, through machine learning, computers can detect production problems and other inaccuracies in this process, correcting the error or signaling it to the responsible teams.
Additionally, artificial intelligence in the industry also manifests itself by generating valuable insights. For example, an extensive data system might receive information that the factory floor produces a large amount of product X.
However, in real-time, the same platform collects the information that Y products are the best sellers in the current conjuncture of their market segment. This way, managers are informed of the need to change the production strategy to meet the current demand.
This is a clear example of the integration between artificial intelligence in sales and the monitoring of the production chain. Notable, isn’t it? Furthermore, it is also possible for robots to perform other diverse industrial actions for humans. Such as, they are operating with dangerous raw materials and delicate microscopic elements. Anyway, the possibilities are many.
What Are The Benefits Of Artificial Intelligence In The Industry?
The main benefits of implementing artificial intelligence in the industry can be summarized in the list items below:
- better integration and communication between the various sectors of the organization;
- quality control on products;
- real-time monitoring of production;
- generation of insights for strategic realignment;
- improvement in customer success metrics ( customer satisfaction).
- reduction of unnecessary costs;
- better operational efficiency.
Finally, these benefits consequently impact increased sales, better customer retention capacity, and strengthen the company’s competitiveness in an increasingly complex and volatile market.
How To Implement Intelligence In The Industry?
Investing in a sophisticated data analysis tool is the first step toward implementing artificial intelligence in the industry. Adopting a data-driven culture associated with artificial intelligence that allows the manager to obtain relevant insights and solutions is essential.
Thus, your company adopts automation systems that integrate different areas of your business, with the main focus on putting the industrial production sector in alignment with the Marketing and Sales teams.