:::

【2020 Solutions】 Robot financial management helps investors balance risks and profits

In the era of "if you don't manage your money, money will not care about you", how to avoid the risks of the investment market and grasp investment returns has become the biggest hope of investors. In order to overcome the human weaknesses of greed and fear, financial management robots developed through AI algorithms can help investors avoid disasters and enjoy fruitful profits in the treacherous and ever-changing financial market.

On March 17, 2020, affected by the global spread of the new coronavirus pneumonia (COVID-19, also known as Wuhan pneumonia), the U.S. stock market continued to plummet after opening, triggering the third circuit breaker in the U.S. stock market, which was also the fourth in history. After the circuit breaker, investors in the securities market were in distress and could not even escape for their lives. Before that, the financial management robot had suggested adjusting the proportion of stocks and bonds, reducing the proportion of high-risk stocks, increasing the proportion of relatively safe bonds, and adding high risk aversion Gold and other combinations enable investors to effectively reduce investment risks and losses.

Robotic financial management has two service models: B2B and B2C

The robot financial management service provided by Leading Information Technology Company provides investors with a stable financial management tool. Peng Hansheng, co-founder and CEO of Leading Information Technology, said that Leading Information Technology currently provides two service models. The first is the Taiwan B2B model, which is to cooperate with domestic financial institutions to provide robot financial algorithm engines, Artificial intelligence market prediction engine, jointly launch robot financial management services; the other is an American B2C model, aiming to serve Chinese American customers, self-developed intelligent financial management APP Growin, using AI and quantitative models to provide customized investment and financial management in ETFs and individual stocks. Serve.

Among them, due to restrictions on regulations, the B2B financial management robot launched by Leading in Taiwan is cooperating with the domestic financial industry, including banks, insurance, etc. Currently Leading's partners include an investment advisory and credit company, and a life insurance company. The company and two banks provide customer financial management robots as a trading tool that consumers can rely on.

In addition, Taiwan's leader in the information service industry - Jingcheng Information provides diversified financial information services to financial institutions. Liding also provides investors with investment portfolio recommendations for smart financial management by connecting APIs to the Jingcheng Information system.

Intelligent financial management APP Growin, use AI and quantitative models provide customized investment and financial services in ETFs and individual stocks

▲Smart financial management APP Growin uses AI and quantitative models to provide customized investment and financial services in ETFs and individual stocks

The financial regulations in the United States are relatively mature, allowing companies to set up online investment advisory companies. Liding connects with the U.S. brokerage system through APIs, and the partner is Interactive Brokers, the largest and No. 1 company in the United States. Broker), providing direct consumer services. Interactive Brokers customers can place orders directly through the APP and enjoy the services of the financial management robot. The iOS version is currently available for download. The robot financial management platform charges a management fee of 0.5%-1% of the investment amount every year. There are 10 investment portfolios for consumers to choose from. Stocks with high investment returns have higher management fees. If you choose relatively stable ETFs, the fees will be Less expensive.

The services of Liding Financial Management Robot are mainly focused on medium and long-term investment. Taking the United States as an example, the investment targets include 5,000 stocks and 2,000 ETFs in the U.S. market. Among them, the average investment return rate based on different risk investment portfolios is 4.5%. -18% or so, and ETF is between 4.5% and 9%. Introducing AI algorithms into investment and financial management can not only significantly reduce the impact of human emotions, but also enable disciplined execution of every investment decision, more effective prediction of the market, and immediate response to its trends.

Robotic financial management targets retired people and focuses on medium and long-term investment

▲Robotic financial management targets retired people and focuses on medium and long-term investment

Take the global stock market crash triggered by the impact of the new coronavirus as an example. The original investment portfolio of the financial management robot had a stock and bond ratio of 7 to 3 respectively. Shortly after the global stock market crash, it automatically reversed and adjusted to 3 to 7, that is, to increase the bond ratio. Proportion, reduce the proportion of stocks to avoid high investment risks. Peng Hansheng said that the financial management robot uses AI technology models to gather 18 important global market indicators and economic trend forecasts for the next 1-3 months. It can provide reversal suggestions when the market is about to fall sharply and avoid high investment risks. Therefore, in The losses were relatively minor amid a sharp decline in global stock markets. However, relatively speaking, when global stock markets rose sharply in April, the growth rate of financial management robots was relatively small, which is suitable for steady financial investors who pursue long-term performance.

Peng Hansheng said that investor financial management through AI algorithms can overcome the investment mistakes that ordinary investors are easily affected by emotions, news or irrational selling. At the same time, in the form of a basket investment portfolio, It can also effectively diversify risks and reduce investment losses.

Integrated learning concepts can achieve dynamic asset allocation effects

return on investment. The so-called "ensemble learning" solves a single prediction problem by building a combination of several models. Its working principle is to build multiple classifiers/models on the data set, each independently learn and make predictions, and these predictions are finally combined into a single prediction. The predictions are therefore better than those made by any single classifier.

In addition, using an "unsupervised" training and learning method, also known as "Hierarchical Clustering", the system will automatically classify the investment targets within the target range every month, allowing the machine to learn Financial report information, value investment, and then improve operational performance.

The choice of robot financial management as an entrepreneurial theme is mainly related to Peng Hansheng's financial engineering background. He graduated from the Department of Finance at Tsinghua University and later went to Columbia University to study financial mathematics. After graduation, he entered Wall Street to engage in quantitative trading 2-3 year time. Three years ago, after witnessing the sudden ups and downs of the stock market and investors' irrational pursuit of highs and lows, resulting in investment failures, Peng Hansheng decided to contribute what he had learned to Taiwanese society and founded Liding Information Technology Company, specializing in robot financial services. It is hoped that through the new smart financial management method driven by AI, it can help investors avoid bad luck and manage their finances steadily.

The most difficult thing about promoting AI financial management is that according to statistics, when financial management robots make investment portfolio recommendations, up to 40% of investors do not follow them, unable to overcome human weaknesses, and the final result is a losing position. getting bigger. In addition, in the B2B robot financial management market, the business logic of banks and insurance industries is different from that of financial management robots. For example, banks specialize in wealth management, and high-end customers usually prefer direct service from financial specialists and do not like to interact with machines. Therefore, promotion in the banking industry is difficult. In the future, bank financial professionals or securities traders will be targeted, making the financial management robot an investment advice auxiliary tool for financial professionals and stock traders.

Co-founded by Li Ding Information Technology People and CEO Peng Hansheng

▲Peng Hansheng, co-founder and CEO of Liding Information Technology

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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Zcon Telehealth uses AI facial recognition to detect physiological data so that people can know everything about their own health

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This product can achieve convenient self-health management and measurement functions for those who frequently travel abroad, workers such as security guards, service providers such as taxi drivers, or migrant workers, replacing the inconvenience of carrying various physiological measurement equipment in the past Zcon Telehealth is the third company in the world to provide physiological data detection technology based on AI facial recognition The company has successfully applied for an invention patent due to the innovation of this technology and services AI facial recognition health management has successfully cooperated with the health management center of a hospital in Kaohsiung, and provides the center's members who download the app with self-health measurement services In addition to health examination centers, the AI facial recognition health management service also cooperates with domestic TV manufacturers to develop customized Android TV apps and integrate them into Internet-connected TVs to provide health measurement detection services Physiological data detection technology based on AI facial recognition can quickly measure and provide physiological data - Demonstration by Bobby Pan, founder and president of Zcon Telehealth Psychological consultation AI brainwave detection equipment to understand customers' mental health status in advance In terms of tele-psychological counseling platform services, Zcon Telehealth not only assisted counseling centers with developing new remote customer service channels during the pandemic, but also uses the UberPsycho app to quickly help customers match with psychological counseling centers that suit them It has also successfully provided value-added services that combine psychological counseling at counseling centers with AI brainwave equipment for brain health assessment through clinical verification It also obtained brain assessment and test reports, and then guided customers to appropriate psychologists for counseling "More than 23 million people in Taiwan receive psychological counseling services every year, and about 110 of them, or more than 230,000 people, need further psychiatric treatment" In addition, the psychologists have different clinical experience and judgment Bobby Pan pointed out that if psychological counseling can be combined with AI brainwave equipment for brain health assessment, and it can provide customers with the early prevention mechanisms of "mental health examination" and "psychological counseling" He believes that the company can quickly grasp the customer's mental state and prevent them from doing something they will regret With the support of the AI HUB project of the Industrial Development Bureau, Ministry of Economic Affairs, Zcon Telehealth cooperated with 5 counseling centers in field verification, providing the counseling centers with AI brain health assessment equipment The customer test report includes simple mental assessment, heart rhythm assessment, autonomic nervous system assessment, behavioral response assessment, brain health assessment, neurological response assessment, and brain emotion assessment In terms of breakthroughs in AI technology, Zcon Telehealth connects devices through a brain-computer interface for brain health assessment indicators, transmits physiological data, and uses a long-short-term memory model and convolutional neural network to analyze neural indicators It automatically generates a cognitive function assessment report through cloud services as the quantitative result of mental health examination This value-added service of the verified mental health examination solution has been actively expanded to all counseling centers in Taiwan through cooperating counseling centers In the future, the company will continue to cooperate with medical institutions and health examination centers to expand its business Psychological consultation AI brainwave detection equipment to determine mental health status in advance In terms of business model, physiological data detection technology based on AI facial recognition uses a non-binding payment mechanism Individuals or companies will receive AI blood oxygen detection cards provided by Zcon Telehealth, and scan the QRCode on the card using their mobile phones for unlimited self-health measurements within one month They only need to pay NT300 per month, which is quite affordable In addition, the fee for the telehealth care management platform is also very affordable at only NT100 for each account For the tele-psychological counseling platform, Zcon Telehealth signs annual contracts and bills customers on monthly basis The AI health management robot is provided for customers to buy out Looking towards the international market while based in Taiwan, developing diverse telehealth services From the perspective of Zcon Telehealth, how to successfully develop products, market them, and expand business opportunities has been a challenge since the company was founded Among them, the company's development of physiological data detection technology based on AI facial recognition was the most challenging Bobby Pan said that since there is no precedent in the industry, the only way was to go back to school to study Fortunately, he was admitted in a doctoral program two years ago and read countless foreign journals, which he then integrated into product design and development It took 2 years of hard work to achieve this result Zcon Telehealth is not only passionate about the development of AI-enhanced telehealth care services, but also believes that AI-based contactless physiological health measurement and data can provide people and care institutions with a more affordable, convenient, fast, and considerate health measurement option in the post-pandemic era In terms of business strategy, Bobby Pan hopes that recent promotion of the physiological data detection technology based on AI facial recognition will continue to increase market share and create cooperation opportunities with channels To this end, the SDK Software Development Kit developed by Zcon Telehealth allows any application owner to embed it into their solution, and can use the SDK to directly detect physiological data on Android or iOS devices It is also applicable to mobile phones, tablets, smart TVs, or smart health mirrors In the future, Zcon Telehealth will primarily target large-scale health companies for cooperation, and looks forward to finding more potential partners with the assistance of the Institute for Information Technology III In the past two years, Zcon Telehealth has actively expanded into the field of AI healthcare and maintained its leadership in AI facial recognition technology Facing the fiercely competitive AI healthcare industry, Bobby Pan said that Zcon Telehealth must plan ahead and will first provide physiological data detection technology based on AI facial recognition to charity and religious groups free of charge, in order to increase product visibility in the short-term In the mid-term, Zcon Telehealth will partner with large health companies, such as health examination centers, and utilize the big data collected through the cooperation to plan customized health products and services For long-term development, Zcon Telehealth plans to set up a branch in Texas, USA by the end of this year and establish local distribution channels It will actively expand business to emerging potential markets, such as Vietnam, the Middle East, and South America You can know what people look like but not what's going on inside Zcon Telehealth breaks through the traditional approach and uses AI facial recognition technology to detect multiple physiological data in 30 seconds, gaining insight into an individualrsquos current health condition, so that it can not only know what people look like, but also what's going on inside Bobby Pan said that it took years of hard work to complete the development of physiological data detection technology based on AI facial recognition Zcon Telehealth is looking towards international markets while it is based in Taiwan, and will develop diverse telehealth services Bobby Pan, founder and president of Zcon Telehealth

這是一張圖片。 This is a picture.
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Automatic Optical Inspection AOI are a major production issue for manufacturers, particularly in the passive components industry where 'it's better to mistakenly reject a hundred than miss one'—a high standard, often leading to AOI setting extremely high parameters which makes devices overly sensitive Excessive stringency in data parameter settings can lead to high false positive rates For instance, if the dirt contamination on passive components resembles the color of the printing layers,AOI the misjudgment rate could reach 7 percent Contamination Dirt and Print Layer Color SimilarityAOIProne to Misjudgment Raytek stands apart from otherAOIsuppliers by discarding the stitching of small images or line scanning, effectively preventing data loss and discrepancies caused by hardware or environmental conditions during image processing It employs a large-array photodetector coupled with custom high-resolution lenses, using specialized imaging for composite processing Throughout this 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