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Li Jianxin: Finance and AI Share Common Technological Trends, Core Goal is Achieving Precise Prediction

Deep News01-05

At the "Financial Industry Infrastructure Development in the AI Era" roundtable forum held during the China Wealth Management 50 Forum 2025 annual conference, Professor Li Jianxin from the School of Computer Science at Beihang University stated that each era is led by new technologies.

In the fields of AI and finance, several long-term trends have been observable in recent years: the first is big data. The core of intelligence lies in data, computation, and connectivity, areas where finance and AI share many common technologies and languages; the second is the updating of information systems; the third is infrastructure. AI is inseparable from information and computers, representing a computational process evolving from the computer itself to the integration of "human, machine, and object," merging the information world, the physical world, and the human world.

The ultimate goal of finance is the ability to achieve prediction. The AI industry is also constantly evolving and transforming, and in this process, sequence and prediction are particularly important.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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