According to Zhao Yunfeng, founder and CEO of the heart of the machine, the pace of development of artificial intelligence in the past two years has been slowing down and progressing towards the proper technical curve, and it has not been as fiery as reported by high-frequency media. The media often uses the term "robot killing" or "replace work" as the title, but today's technology has not reached this level.
In the field of smart financial management, the degree to which technical algorithms are achieved is relatively early. Gao Jie said: "After the algorithm, the final investment decision is mostly borne by people. The main thing is that, after all, it is a matter of money. Unlike retouching software, distortion is not really meaningful, but for the financial industry, This judgment is distorted. It may be several million a day."
At present, the intelligence level of AI is not high enough to be able to independently judge the investment stage. Many practitioners value AI but are far from the point where they are entrusted with heavy responsibility.
It is understood that the current major decision-making work is still done manually. What AI can replace is primary information collection and processing. Instead of a group of people reading the data from morning till night and providing investment advice, using data to provide advice is more efficient and stable than in the past. This view has also been recognized by the industry. Prior to China Merchants Bank APP5. The "Capricorn wisdom investment" was carried on 0. At the press conference, Ban Lin, general manager of China Merchants Bank's Wealth Management Department, explained in an interview that although APP 5.0 uses a lot of machine learning algorithms in artificial intelligence technology, it is not complete. Depends on the machine, but the intelligent integration of people and machines.
When it comes to time, relying solely on AI's independent research to determine the wealth of imagination, Gao Jie feels that it will soon be realized. It may take only one or two years. However, Shen Xiangyang, executive vice president of Microsoft Global, said in an interview with the media about AI: “AlphaGo is admirable but not commercialized. I personally believe that in the past three to five years, the breakthrough of artificial intelligence is still in the business sector. The application of ".. Specifically, artificial intelligence in the traditional business areas, such as sales markets, customer support, human resources and other fields of application.
Faced with how to judge AI is smart and reliable, stability is one of the important criteria. Gao Jie said: "For instance, if you give profits to the machine, if AI makes money again, then profit will be given to the machine. With more and more money, the amount of money given to AI has also increased, forming a two-way effect. At that time, it was strongly When the blowout occurred, more and more powerful AIs appeared and more money came in. The model of asset management began to be reformed. The future is divided into people management and machine management."
Smart future, the past is old.
At this point in time, many companies are focusing on the improvement of technology for industry efficiency. Zhang Kaixing analyzed: "Sci-tech finance has greatly improved the efficiency of the industry. This is a channel change and service upgrade." For example, in conjunction with the mobile Internet, the App can be used to obtain information, conduct transactions, and check performance. Through the analysis of big data, provide personalized services and give financial advice. However, whether or not such an approach is equivalent to "finance and technology," the industry is still arguing. The Cat Eye Classic will continue to interpret the chemical reactions and mutual empowerment of the artificial intelligence and finance industries next week.
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