How will cognitive computing affect manufacturing?

In recent years, technologies such as the Internet of Things, big data, and artificial intelligence have developed rapidly, and have derived intelligent applications in multiple industries, such as autonomous driving, intelligent manufacturing, smart medical, and intelligent transportation. Technologies based on data analysis and cognitive computing are affecting the way we live and work, providing companies with new competitive advantages.
In the manufacturing industry, the way people work has begun to change. With the support of information technology, employers can interact closely with workers, customers and suppliers to make the manufacturing process more coordinated. After the factory has obtained a large amount of data, the best decision-making insights are finally obtained through artificial intelligence methods such as planning, reasoning and learning.

At present, the main cognitive technologies include machine learning, computer vision and language cognition. Language cognition understands and generates human language to accelerate interaction with the machine in both written and verbal ways. Machine learning can learn from data and automate diagnostics without the need for precise programming. There is also computer vision that can mine, evaluate and understand useful information from a range of images.

认知计算对将如何影响制造业？

These technologies enable machines to understand human behavior and take over part of human work. By knowing the information provided by the computer, the manufacturer can decide on the action plan in time to achieve optimal production management.
Digital future trends in manufacturing
In the next few years, the industry will become digital, and the Internet of Things is one of the main driving forces. IoT devices will proliferate and the number will exceed 10 billion. And around these devices, how to create data analysis and improve our business and life is a vital thing.
How will cognitive computing affect manufacturing?

Traditional computing will be difficult to keep up with due to the large amount of data being transferred. To handle such large-scale data, it is necessary to use techniques such as cognitive computing to manage, evaluate, and improve information. Cognitive computing is part of the transformation of manufacturing to digital. New technologies can be implemented in stages, and cognitive computing is also suitable for this form.

认知计算对将如何影响制造业？

In the future, the management of equipment in the factory is through sensor connection and analysis, obtaining a variety of data from equipment and production lines, and improving resource allocation such as labor and energy through cognitive understanding, ultimately improving performance efficiency and reducing unnecessary Downtime.
Understanding computing will play a key role in the future of manufacturing, for example, machine learning-based robots will become a focus area for future plant focus. The sales of industrial robots have confirmed the future direction, and the intelligent robots are equipped with sensors, easy to program, and with the support of artificial intelligence technology, will become smarter, more responsive and autonomy.
How will cognitive computing affect manufacturing?
Understanding computing brings profound changes
The factory hopes to respond quickly to changes in the market and the individual needs of its customers, so it is necessary to increase the automation and flexibility of production. A new generation of intelligent robots is very beneficial for flexible production. In the near future, with the upgrade of robots and the further cost reduction, intelligent robots will be widely used in small factories.
How will cognitive computing affect manufacturing?

Over the years, people have been studying the use of computers to simulate the workings of the human brain, from the past programmable systems to the current cognitive systems, using self-learning algorithms such as data mining, pattern recognition and language recognition. Cognitive computing can also help achieve flexible automation, such as automatic detection to predict and improve maintenance and prevent unplanned downtime.

认知计算对将如何影响制造业？

Advanced artificial intelligence technology has brought tremendous improvements to the manufacturing industry, using machine vision to detect defective parts and process them before they are shipped to the market to ensure the product's yield. Whether it is intelligent robots or visual inspection, cognitive processing of computer systems is the key.
If a supercomputer is added to a manufacturing facility, it can use information gathered from sensors in the device and predictively analyze things such as motor or bearing failures, making it easier to find system performance and failures in motion using machine learning algorithms.