As the industry matures, AI applications are gradually introduced into various industries. However, many companies will not be able to quickly experience innovative benefits due to industrial characteristics when introducing AI. IBM has observed that customers in the financial, manufacturing, and medical sectors are actively thinking about how to deploy cognitive transformation strategies.

In order to assist industries to easily navigate the AI ​​infrastructure, IBM and its partners, Group Ring Technology, are pushing the cognitive solutions such as PowerAI Deep Learning Architecture to plan a complete AI development blueprint for Taiwanese companies. Lee Zheng-soo, general manager of IBM's hardware systems division in Taiwan, said that IBM has introduced industry scenarios, materials and professional experience into cognitive solutions, enabling industry know-how and IBM AI deep learning platform architecture to further link to meet specific industry needs. AI kinetic energy.

IBM alliance group pushes PowerAI deep learning architecture to help enterprises experience cognitive business opportunities

Zheng Bifen, deputy general manager of Qunhuan Technology and Regulations Group, pointed out that Qunhuan Technology has long been standing on the front line to observe the needs of Taiwanese companies, and found that most companies are still thinking about how to use AI technology, or because there is no relevant talent in the wait-and-see stage. To this end, Qunhuan Technology decided to promote the AI ​​platform simulation mechanism, allowing enterprises to test the system and experience the innovative business model brought by AI according to the different needs of the industry and the deep learning model, combined with the internal data of the enterprise.

Helping the manufacturing industry improve screening yield and productivity through the IBM PowerAI deep learning platform

For Taiwan's manufacturing industry, it is imperative to move toward smart manufacturing; how to make good use of new technology to improve production yield and product quality, and to avoid damage to corporate reputation caused by possible defects in production? Traditional manufacturing generally uses artificially modeled image analysis to perform yield screening, which is prone to false or missing inspections. The IBM PowerAI deep learning platform analyzes and produces online historical data through AI analysis, constructs a composite model for automatic defect prediction, analyzes the possible influence parameters of the production line, finds the correlation of the impact factors, and optimizes the production. Line parameters to increase screening yield and capacity while reducing unnecessary equipment expenses and maximizing product profitability.

Accelerate the development of smart healthcare in Taiwan through a cognitive system built by PowerAI

In the medical field, with the continuous advancement of medicine, many medical units are faced with the inefficiency of manually processing large amounts of images. To this end, IBM accelerates the development of intelligent medical care in Taiwan through the cognitive system built by PowerAI. After training by professional medical institutions, the system has been able to assist physicians in the detection of lung tumors and breast cancer, and quickly interpret calcifications and lesions in X-ray films with an accuracy rate of up to 75%.

Taiwan's IBM expects to accelerate the development of the local AI ecosystem through the cooperation with the group, and to develop and promote the application of various industries, and to assist Taiwan's small and medium-sized enterprises to grasp innovative business opportunities with AI technology.

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