Promoting DX in the manufacturing industry through the use of AI and future prospects

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The use of AI is essential to promote digital transformation in the manufacturing industry. Combining image recognition technology with a predictive maintenance system can dramatically improve productivity. In this section, we will take a detailed look at AI strategies for realizing smart factories, the challenges and solutions for introducing AI in small and medium-sized manufacturing companies, and the latest trends in AI utilization and future prospects. We will introduce how to use AI to break through the limitations of the manufacturing industry and strengthen competitiveness, with concrete examples.

4-1. AI utilization strategy for realizing smart factories
The realization of smart factories is essential to maintaining the malaysia whatsapp number data competitiveness of the manufacturing industry. One specific strategy that utilizes AI is the automation of inspection work through image recognition. AI analyzes images and identifies defective products and foreign objects, improving work efficiency and accuracy. In addition, AI analyzes equipment operation logs to detect abnormalities early and enable predictive maintenance. This prevents production line stoppages and contributes to cost reduction. In addition, it is important to optimize the manufacturing process using sensor data. By analyzing the operation status of equipment and the location information of workers, AI can propose optimal production schedules, which is expected to improve productivity.

However, there are also challenges to creating a smart factory. Building an IoT environment requires costs and know-how, and it is also important to consider how to utilize data. In order to overcome these challenges, it is essential to make step-by-step preparations, such as clarifying the purpose, identifying data items, and preparing the system environment.