The application of Artificial Intelligence in industry has been increasingly optimizing its results. New demands arise in an attempt to achieve its maximum degree of efficiency .
The very concept of Artificial Intelligence has become broad and is used to talk about deep and machine learning, predictive analytics, augmented reality, robotics, performance diagnostic software, and many others. So how do you know the impact of each of these applications on plant operation?
In this post we bring you information that can clarify this and other fundamental doubts about the impact of automation in the industry through Artificial Intelligence.
What are the benefits of Artificial Intelligence (AI) for industries?
Tractica’s 2016 Intelligence Market Forecast offers an interesting definition of AI. According to the report, such technologies are designed to equip computers and machines with human-like abilities such as hearing, vision, reasoning and learning in a more accurate and agile manner.
Therefore, enhancing these skills can contribute in different ways to the functioning of industries.
Creating safer work environments
Machines can withstand extreme conditions that would be detrimental to the health of employees in an industry, even if their effects would only be noticeable in the long term. Refrigeration chambers, chemical processes and the handling of explosive materials, for example, can be achieved almost entirely by automation.
Steps that necessarily require the intervention of specialists brazil whatsapp data can also be carried out more safely, using AI technologies with security alerts , which signal the need for real-time maintenance and performance reporting, indicating the best measures to take.
Increased productivity
With entire procedures performed by machines capable of making data-driven decisions , agility and increased productivity are natural consequences.
Investment in modernizing industrial processes quickly pays for itself with improved production results.
Cost reduction
These good results are also confirmed by the reduction in operating costs. New technologies are developed to work using the least amount of resources possible, whether in terms of raw materials or energy consumption .
In fact, this is another point of cost reduction: the mitigation of errors and waste in the operation .
How to understand the impact of Artificial Intelligence on the industry?
These benefits, which are not the only ones, make it clear that the industry receives an extremely positive impact from the use of Artificial Intelligence in its processes. However, this is not limited to numerical values. It is also possible to point out:
an increase in the quality of products and services , as Artificial Intelligence reduces execution errors and subsequently uses operation data to analyze its performance and make improvements;
agile response to new market demands , considering that the needs and interests of consumers are changing rapidly;
change in the employment relationship and responsibilities of professionals , who will be increasingly qualified to design, manage and program new technologies;
new, more effective products and services , since development can also be supported by Artificial Intelligence to evaluate the proposed designs, identify material variables, weaknesses to improve, and also the possibility of using augmented reality to carry out tests before actually putting it into production.
How does AI help in process automation?
Some experts call the union of Artificial Intelligence and automation technologies as Robotic Process Automation Intelligence, or Automated Intelligence . Therefore, some components of AI are used to support automation. See more below.
Pattern recognition
Artificial Intelligence allows the machine to identify a previously established pattern in its database and point out the need for different interventions or to validate information, such as access.
Solutions that indicate the need for preventive or emergency maintenance, for example, use the database to identify when a strategic stop is mandatory or when the references for the good functioning of the process are outside of what is recommended.
Making decisions
Machine learning allows decisions made by automation to be learned and reused in future actions , increasing its processing agility.