How will cognitive computing affect manufacturing?

In recent years, the Internet of Things, big data, artificial intelligence and other technologies have developed rapidly, and derived intelligent applications in many industries, such as automatic driving, intelligent manufacturing, intelligent medical, intelligent transportation and so on. Data analysis and cognitive computing technology are affecting our way of life and work, providing new competitive advantages for enterprises.

In the manufacturing industry, people's working methods begin to change. With the support of information technology, employers can interact closely with workers, customers and suppliers, making the manufacturing process more coordinated. After the factory acquires a lot of data, the best decision-making opinions can be obtained through artificial intelligence methods, such as planning, reasoning and learning.

At present, the main cognitive technologies include machine learning, computer vision and language recognition. Language cognition can understand and generate human language in order to accelerate the interaction with machines in written and oral ways. Machine learning can learn from data and diagnose automatically without precise programming.

These technologies enable machines to understand human behavior and take over part of human work. By recognizing the information provided by the computer, the manufacturer can decide the action plan in time, and ultimately achieve the optimal production management.

The Future Trend of Digital Manufacturing Industry

In the next few years, industry will move towards digitalization, and the Internet of Things is one of the main driving forces. The number of Internet of Things devices will surge, and the number will exceed 10 billion. Around these devices, how to create data analysis and improve our business and life is crucial.

Cognitive computing will play a key role in the future manufacturing industry. Sales of industrial robots have confirmed the future direction, and intelligent robots equipped with sensors, easy to program, with the support of artificial intelligence technology, will become smarter, more responsive and autonomous.

The factory hopes to be able to quickly respond to market changes and customer personalized needs, for example, rapid prototyping, low-volume production, 3D printing.So it needs to improve the automation and flexibility of production. The new generation of intelligent robots is very beneficial for flexible production. In the near future, intelligent robots will be widely used in small factories with the function upgrading of robots and the further reduction of costs.

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