AI Big ModelAssistfinanceIn addition to combating online fraud, inclusive finance also promotes the digital transformation of the financial industry. In recent years, the financial industry has been experiencing a wave of digital transformation. Through the use of artificial intelligence (AI) technology, financial institutions have achieved improved work efficiency and innovative breakthroughs. In particular, the application of AI large models has brought continuous progress to financial inclusion.
According to the "China AI Big Model Innovation and Patent Technology Analysis Report" released by the National Industrial Information Security Development Research Center and the Electronic Intellectual Property Center of the Ministry of Industry and Information Technology, Internet companies and leading electronic technology companies have performed outstandingly in big model technology innovation. The total number of big model patent applications in my country has exceeded 40,000, showing a strong growth momentum. The application of these big models has not only improved the quality and efficiency of financial services, but also brought new opportunities for financial inclusion.
Consumer finance institutions are an important part of this. In recent years, many consumer finance companies have successfully applied big model technology and launched intelligent financial products and services. For example, China Merchants Bank Consumer Finance released the first 13 billion parameter open source big model "China Merchants Bank Zhilu" in the consumer finance industry, and Mashang Consumer Finance launched the country's first retail finance field "Tianjing" big model. The application of these big models covers the entire chain of the financial industry, improving the depth and speed of financial services.
The scenario application of the "Tianjing" big model has achieved remarkable results in the financial industry. Its core scenarios include financial intelligent dialogue, financial digital human and AI core engine of financial services. Through the application of big models, financial intelligent dialogue realizes real-time human-machine collaboration, continuous learning and trusted security compliance; financial digital human realizes digital human with warmth through big models and combined AI multimodal capabilities; the AI core engine of financial services realizes emotional human-machine interaction experience through the combination of big models and psychology.
Mashang Consumer Finance said that the Tianjing model has played an important role in helping financial companies improve their daily work efficiency. It not only efficiently solves the problem of extracting and using data from unstructured documents, but also lowers the threshold for using data. For example, when analyzing and sorting out documents such as corporate prospectuses, financial reports, and economic forecast data, the Tianjing model can deeply analyze professional terms in the financial field, query and locate multiple different documents at the same time, gain insight into the information hidden in financial charts, and has a strong ability to summarize and generalize.
However, the application of AI big models in the financial industry also faces some challenges. China Post Consumer Finance said that in order to ensure the sustainable development of big models in the consumer finance industry, a security review mechanism needs to be established. Since big models are generative artificial intelligence services, the industry is working hard to explore and improve solutions to ensure the compliance of generated content. In addition, the development and application of big models require a lot of computing resources, and domestic development still requires more R&D efforts. At the same time, with the development and application of big models, the demand for related talents continues to increase, including the increasing demand for labeling personnel and algorithm personnel, and related talents are increasingly in short supply in the human resources market.
In addition to promoting financial inclusion, AI big models also play an important role in combating online fraud. Recently, a citizen received an anti-fraud AI outbound call from a consumer finance company when he applied for a loan and transferred money to a scammer's account. This AI anti-fraud robot can quickly identify suspected ongoing fraud through intelligent analysis of big data and issue early warning information in a timely manner. Through the application of AI technology, financial institutions can monitor transaction data in real time. Once abnormal activities related to fraudulent behavior are found, the system can immediately issue an early warning, allowing relevant customer service personnel to dissuade them in time. At the same time, applying AI technology to various aspects of security strategies, including identity authentication, data protection, and network security, will help to establish a comprehensive security strategy to better prevent telecommunications network fraud.
With the rapid development of the digital economy, telecommunications fraud methods are becoming increasingly diverse. In order to protect personal property safety, the general public needs to be wary of new methods such as promotion and online part-time job fraud, fraud impersonating e-commerce customer service, fraud impersonating financial customer service, pornographic seduction fraud, and fraud impersonating government agencies. Consumer finance institutions call on citizens to remain vigilant and strengthen prevention of online fraud.
In summary, the application of AI big models has brought new opportunities and challenges to the financial industry. Through the use of big models, financial institutions have achieved the improvement and innovation of financial services and promoted the continuous progress of financial inclusion. At the same time, AI big models play an important role in combating online fraud and protecting the property safety of the general public. With the continuous development of technology, it is believed that AI big models will play an increasingly important role in the digital transformation of the financial industry.