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This is the Prediction of AI Development in Manufacturing

This is the Prediction of AI Development in Manufacturing

idhealt.com — Artificial intelligence (AI) is playing an increasingly important role in the modern manufacturing industry. They help in predictive and preventive maintenance, defect detection, effective productivity measurement, etc.

Therefore, AI has made tremendous breakthroughs in this industry and has been invested in and implemented by many leading names. Let’s explore the potential for AI development with FSI in the article below.

In modern manufacturing in the 4.0 era, we can easily see that AI-controlled machine tools and AI-based technology solutions are gradually paving the way to an easier future.

This brings many advantages and opportunities for business actors in automating production, thereby increasing their competitiveness in the market.

AI plays an important role in the manufacturing sector
Statistics from Accenture (NYSE:ACN) state that:

By 2035, AI technology is likely to increase production by 40% or more.
AI will drive 1.7% average economic growth across 16 industries by 2035.

We cannot deny that AI plays a very important role in modern manufacturing processes. AI is a factor that directly automates or supports many activities in production, such as predictive and preventive maintenance, risk and error detection, productivity measurement, etc.

New production system versions equipped with displays, human-machine interfaces (HMI) or electronic sensors to provide visual information about raw material availability, system status or consumption rates, power consumption and many other factors.

Many manufacturing machines, especially robots, currently work more quickly, more reliably and precisely than humans.

They help perform tasks that are far beyond human capabilities and replace humans for doing hazardous work. However, at present, the majority of intelligent robots that use AI intelligence are still under human control, and in some cases have to go through the opinion or decisions of managers.

Predictions About AI Developments in Manufacturing

There are several advantages of the development of AI in manufacturing as follows.

1. Machine Learning and Autonomous AI are booming

As we all know, the main strength of this thing comes from Machine Learning and artificial neural networks (also known as Deep Learning). In addition, other self-organizing systems can develop their capacity to learn from their own experiences, without human intervention.

The system is fully capable of rapidly evolving and can uncover patterns in huge volumes of data beyond the capabilities of human analysts.

However, to date, the human factor still plays a role in driving the development of AI applications, as AI managers will continue to code expert knowledge from previously self-designed systems.

The basic knowledge as well as information about production such as optimal process, which stage is decisive, etc. will be given to AI so that it can create a huge source of production Big Data.

Simultaneously, autonomous AI will automatically build and complete based on these blocks of data and expertise. As a result, manufacturers will almost certainly benefit from on-board AI sensor data analysis for preventive maintenance and process improvements.

This seems to be an important step for future updating, getting closer to the day when machines can improve themselves. When the tool wears out, the AI ​​system will adjust to maintain existing performance and send repair notifications to employees.

2. AI can Create a Flexible and Optimal Factory

Going forward, it is undeniable that AI applications can not only be applied in the manufacturing process, but can also directly support factory planning activities, such as layout, work area location.

AI can fully help manufacturers take into account the factors of workplace safety and flexibility to more easily change depending on the requirements of short-term production projects with frequently changing workforce processes.

Today, AI sensors have the ability to monitor and track factory activity. They observe the process and automatically measure the risk.

Therefore, there is a high probability that in the future AI will be able to fully handle flexible factory construction planning and custom processes and processes.

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