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Specific Application of data tagging in the Field of Intelligent Finance (Manfu Technology)

2025-04-07 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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With the deep learning and the large-scale commercial application of computer vision technology, the combination of financial industry and artificial intelligence becomes closer, and the wave of intelligent finance begins to sweep the whole financial industry.

From product design to internal management to customer service, artificial intelligence technology has a clear landing scene in every link of the value chain of the financial industry, which effectively reduces the operating costs and risk costs of financial institutions. A new ecology of intelligent finance is emerging.

Behind the ecological reshaping of the industry is the breakthrough of AI technology, the combination of computer vision, voice interaction and natural language processing with the financial industry is getting closer and closer, and the landing application of these technologies can not be separated from the strong support of the data tagging industry.

1. Computer vision.

In the financial industry, computer vision is mainly used in the field of internal process optimization and customer interaction services. Face recognition and live detection are typical application scenarios.

This kind of scene is characterized by simplicity and high repetition, such as facial scan payment. In the past, the method of payment was that the user entered the password to complete the payment, which was relatively tedious and there was the problem of password disclosure. After the face payment application, users only need to carry out "facial scanning" to complete the authentication, payment and other processes. This interaction not only simplifies the payment process and improves automation, but also greatly improves the payment service experience of users.

This kind of computer vision technology is mainly applied to key points, 2D boxes and other annotation types to meet the needs of face recognition technology. Because it involves sensitive information such as human face, it puts forward higher requirements for the data security control ability of data tagging service providers.

2D box label (source: Manfu Technology)

The combination of artificial intelligence and the financial industry has profoundly changed the traditional financial format and reshaped the new ecology of the financial industry. In the future, with the further maturity of artificial intelligence technology, the space available in the field of scene coverage and vertical application will be broader.

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