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Advantages of AI in industrial processes
Aug 6, 2022 6:18:00 PM4 min read

Advantages of AI in industrial processes

The technological solutions that have emerged from the so-called fourth industrial revolution or industry 4.0 in companies have proven to be efficient tools that can optimize processes and industrial plants, even driving autonomous production. From the digital transformation, AI is gaining relevance in industrial processes like never before, especially since the outbreak of the pandemic.

<<< Artificial Intelligence: The impact on LATAM>>>

 

Artificial intelligence has been around for quite some time. From quick suggestions in search engines and autofocus on smartphones to greeting bots in shopping malls, artificial intelligence is becoming more and more a part of our daily lives.

Industrial manufacturing is moving towards autonomous production. This transformation is taking place progressively, reducing manual work, optimizing processes, and increasing the precision of actions and the quality of products based on knowledge and data.

Currently, the use of artificial intelligence can significantly support operational actions by estimating the use of raw materials, the timing of actions, quality management, and supporting or making operator decisions in the process.

By integrating artificial intelligence with industrial processes, companies will gain a greater competitive advantage and gradually accelerate growth, because well-used technology is the best tool for people.

In this article, we intend to list the main advantages of AI in industrial processes.

1. Automation.

Automation is one of the most important and well-known advantages of artificial intelligence and technology. It has had a significant impact on the communications, transportation, consumer products, and services industries. Automation not only leads to higher production rates and increased productivity in these sectors, but also enables more efficient use of raw materials, better product quality, reduced lead times, and visibly better safety.

Automation can also help free up resources that can be used for other things that add greater value.

2. Smart decision making.

AI technology can coordinate data delivery, analyze trends, build data consistency, provide forecasts, and quantify uncertainties to make the best decisions for the business. As long as the AI is not programmed to mimic human emotions, it will remain impartial on the matter at hand and help make the right decision to support business efficiency.

3. Improved customer experience.

AI-powered solutions can help businesses respond to queries and complaints quickly and address situations efficiently. The use of chatbots that combine conversational intelligence with natural language processing technology can generate highly automated messages for customers, helping to find the best solutions for their needs.

AI tools can also help reduce strain on customer service staff, which will lead to increased productivity.

4. Medical advances.

The use of Artificial Intelligence solutions in the healthcare sector is also becoming more and more popular these days. Remote patient monitoring technology, for example, allows health care providers to quickly make clinical diagnoses and suggest treatments without requiring the patient to visit the hospital in person. AI can also be beneficial in monitoring the progression of contagious diseases and even predicting their future effects and outcomes.

<<< Importance of Industry 4.0 in companies >>>

 

5. Research and data analysis.

Artificial intelligence and machine learning technology can be used to analyze data much more efficiently. It can help build predictive models and algorithms to process data and understand the possible outcomes of different trends and scenarios. In addition, AI's advanced computing capabilities can also speed up the processing and analysis of data for research and development, which might have taken too long for humans to review and understand.

6. Resolution of complex problems.

Developments in AI technologies, from basic machine learning to advanced deep learning models, have been capable of solving complex problems. From fraud detection and personalized customer interactions to weather forecasting and medical diagnosis, AI is helping businesses across industries find the right solutions to better address their challenges. Greater efficiency in solving complex problems means higher productivity and lower costs.

7. Management of repetitive tasks.

Performing recurring business tasks is not only time-consuming, but it can also be monotonous and reduce employee productivity over time. AI-powered robotic process automation tools can automate interactions between different business systems and make tedious work easier for the business. It can mimic the actions of humans within digital systems in HR, IT, marketing, or sales departments to execute any business process quickly without requiring any manual effort.

8. Error reduction.

Another great benefit of automating regular business tasks with AI tools is that it helps reduce the chances of manual errors. Because Robotic Process Automation tools take care of data entry and processing jobs, they can make digital systems more efficient and less likely to encounter or create problems due to data processing errors. This can be especially beneficial for companies that cannot afford to make even the slightest mistake.

9. Greater commercial efficiency.

Artificial intelligence can help ensure 24-hour service availability and will deliver the same performance and consistency around the clock. Taking care of repetitive tasks will also not make AI tools tired or boring. This can help improve business efficiency and reduce stress on employees, who can be redeployed to perform more complex business tasks that require manual intervention.

<<< 5 principles to implement industry 4.0 in your company >>>

 

In conclusion, there are many more advantages of AI in industrial processes, ranging from space exploration to advances in defense systems and more. Technology is constantly evolving and has the potential to become an inorganic replica of neural processes due to the intelligent nature of the decisions it makes.

Although we cannot yet predict what will happen in the future or how much artificial intelligence will be part of our lives, we can be sure that it will be positioned at the forefront of the needs of people to improve their quality of life and perhaps why not, extend it.

 

 

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