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【2021 Solutions】 Deeply cultivate text mining and artificial intelligence, Blue Planet Information depicts a huge business network with one click

"In the era of big AI, machines will help humans simplify complex tasks and handle tasks that are beyond human reach." With 20 years of experience in text mining, Song Hao, general manager of Blue Planet Information Company, firmly believes , under the trend of "open data" (Open Data), open data is definitely a treasure worth exploring. Through text mining and AI technology, Blue Planet uses "ΣCOUT" to build a huge corporate network, helping banks and bidding agencies fully understand customers and supply chain manufacturers, and effectively reducing business risks.

According to statistics from the "2020 Small and Medium Enterprises White Paper", the number of small and medium-sized entrepreneurs in Taiwan in 2019 was 1.491,420, accounting for 97.65% of all enterprises, an increase of 1.72% from 2018, setting a record in recent years. In the face of numerous small and medium-sized enterprises and new start-ups, whether it is a bank that needs to "know your customer" (KYC) or a government bidding unit that needs to select suppliers, it is a very time-consuming and labor-intensive task. "

It takes an average of 12 hours for a bank to produce a due diligence report. The "actual report" can be shortened to 1 hour

After conducting on-site visits to multiple banks, Blue Planet Information found that in the past, when a bank conducted due diligence on a single customer, it needed to first collect dozens of information from the Judicial Yuan, the Ministry of Economic Affairs’ Industrial and Commercial Registration, the International Trade Bureau, and media news. The relevant information on the website is then sorted and reviewed until an audit report is produced, which takes a total of about 12 hours of labor costs. However, through the "Report ΣCOUT" business history inquiry system developed by Blue Planet, using automated technology, all verification matters can be completed with one click without any gaps, and the time to complete a report has been reduced from 12 hours to 1 hour. Save more than 80% of time costs.

The Blue Planet team is committed to Customers save mundane tasks that technology can do for them
.

▲The Blue Planet team is committed to saving customers the trivial time that technology can do for them.

As an information company officially transferred from National Taiwan University, Blue Planet was formerly the R&D team of National Taiwan University Information Technology Institute. Since 1996, in order to preserve long-standing and precious archives, the national government has cooperated with National Taiwan University to implement the "National Digital Collection Project" ”, using text analysis technology to digitize various collections stored in libraries, museums, art galleries, etc. The research quenching during this period has also laid a solid technical foundation for Blue Planet. "Fact Report ΣCOUT" contains more than 3 million public offering information, ranging from food stalls, studios, small and medium-sized enterprises, large enterprises, and even companies that have ceased operations and completed liquidation. Including the 15 million judgments of the Judicial Yuan, as well as various news, forums, communities and other information, a total of more than 100 million pieces of data are stored in the database.

Song Hao pointed out that because Blue Planet started out with Chinese text exploration, in addition to structured data, the team is better at unstructured data, such as news reports, referees, etc. Accurate analysis requires a considerable technical threshold, so they Having a competitive advantage, it is not easy for latecomers to catch up. Especially once the court's judgment documents involve enterprises and trade transactions, there are often huge business connections hidden in them. Deep learning and AI algorithms need to be used to turn them into structured data, in order to further uncover the hidden relationship links.

Business risks are everywhere "True Report" Automated AI algorithms significantly reduce risks

The customer base of "ΣCOUT" is mainly divided into three categories. The first category is the financial industry that needs to conduct due diligence and credit investigation on customers; the second category is government units that often invite external tenders; and the third category is the general private sector. The purchasing unit of the enterprise. Song Hao said, "Business cooperation risks are everywhere, and the risks are especially high when encountering small and medium-sized enterprises." No matter at home or abroad, there are a large number of small and medium-sized enterprises, and information is difficult to collect. In addition, international regulations on money laundering prevention and combating financial terrorism ( AML/CFT) requirements have certain standards. Whether it is financing or lending, banks need to conduct detailed checks on their customers through systems like "Report".

Through exclusive semantic analysis technology, Extract key words from the judgment to reveal corporate risk matters
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▲Use exclusive semantic analysis technology to extract key words from the judgment and reveal corporate risks.

In addition, the government procurement department can handle hundreds of bidding cases in a day; general enterprises have countless preparatory tasks when selecting procurement vendors. If they rely on manual inspection, it can be said to be time-consuming and time-consuming. If an automated system can be used to conduct a detailed investigation of the "net worth" of bidding and purchasing manufacturers, it will be able to reduce risks such as failure to perform contracts and work safety accidents in the future, and it will also be able to strengthen the reminder of whether they are good manufacturers or refuse to deal with them. Using AI intelligent algorithms, Blue Planet exclusively developed "Business Network Diagram" and "Ownership Structure Table" to help uncover the intricate network behind the enterprise. Song Hao further pointed out that taking Far East Group as an example, in the past, when conducting cross-shareholding analysis, bank due diligence personnel had to draw 200-300 relationship routes with bare hands. However, with "real report", it only takes a few seconds and is complicated. The cross-shareholding network can be seen at a glance.

▲Through the formalized process of data inventory, collection, and cleaning, key information is extracted to build a business network.

Another example is that there are many investment targets in the securities market. If investors do not understand the company, the investment risk is quite high. Through the "real report" business network diagram, they can smell out business clues, such as whether the company is What's more, the resurrected "shell companies" can also unearth the core figures and ultimate beneficiaries (UBO) hidden behind the related companies. Regarding the situation where the person in charge, directors and supervisors sometimes have the same name, Song Hao said that AI will give different weights based on the similarity of the company's activity period and activity industry. If the weight ratio is higher, the possibility of judging that they are the same person will also increase. high.

Taiwan Open Data is at the forefront of the world and Blue Planet expects to open up new fields and markets within 5 years

After many years of hard work, Blue Planet Information is now a leader in the field of text exploration in Taiwan. Song Hao pointed out that when former Executive Yuan President Zhang Shanzheng was a political councilor, he vigorously promoted "open government data" and Taiwan's Open Data was at the forefront of the world, comparable to the United Kingdom and Japan. Most of the Open Data information in China is text, while in European and American countries it is PDF files or scanned files, which cannot be easily textualized and even more difficult to add value to. Therefore, Blue Planet Information seizes the opportunity to collect data from the government’s open data platform and apply it in value-added applications, allowing AI to combine big data from different fields, and is expected to open up new fields and markets in the next five years.

In terms of expanding overseas markets, Song Hao revealed that a foreign bank had approached him in the past, saying that it had multiple bases around the world and hoped to collect corporate information from 30 countries around the world. Such an opportunity also allowed him to start I have been thinking about it, hoping to copy Blue Planet’s operation and service model in Taiwan to the world. Therefore, the next stage of the company's operations is to study the data that can be publicly collected around the world, further promote the service model to overseas markets, and create an international business performance database. . Since its establishment in 2013, Blue Planet Information has continuously deepened its technology and moved the laboratory's research and development results towards commercialization. Song Hao said that people who come out of the research laboratory usually have their own ideas and persistence in research, but after commercialization, they inevitably have to compromise with the reality. He hopes that in 10 years, Blue Planet can be pushed to the road of public offering (IPO). , leading the team to become a technology leader and achieving the ultimate goal of becoming the "Light of Taiwan" in the software industry.

General Manager of Blue Planet Information Dr. Song Hao

▲Dr. Song Hao, General Manager of Blue Planet Information

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

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【解決方案】小柿智檢 以「AOIAI」雙劍合璧,軟加硬體千錘百鍊 打通外觀瑕疵檢測任督二脈
Xiaoshi Intelligent Inspection uses the two swords of "AOI + AI" to combine software and hardware to open up the two channels of appearance defect detection and supervision.

Quality inspection, like a double-edged sword, has always been a favorite and painful subject for Taiwanese manufacturers When AI deep learning enters the industrial visual inspection of traditional manufacturing industries, it can not only save inspection manpower investment, solve the problem of inconsistent manual visual standards, overcome the limited visual recognition and defect detection blind spots of traditional automatic optical inspection AOI, and also enable real-time traceability Causes of quality problems The overall AIAOI visual inspection solution developed by Xiaoshi Intelligent Inspection integrates software and hardware to create efficient appearance defect detection capabilities, helping electronics OEM customers create high-efficiency products with a miss detection rate of less than 1 and an overkill rate of less than 3 Check the level Xiaoshi Intelligent Inspection was established in 2020 Although it is a new venture two years ago, it did not start from scratch 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QVI-T deep learning detection software, which can provide customers with defect location, defect classification, defect segmentation, anomaly detection and text recognition Key functions such as this are different from the fixed detection methods of traditional software Algorithms can be refined based on different industrial detection methods and different APIs can be developed to connect devices with different lenses The software design of this platform is very lightweight It is a SaaS software built on public cloudprivate cloud It mainly involves simple image uploading, labeling, training modeling, and verification testing After completion, users can download models, SDKs, APIs, and reports Effectively help customers achieve AI inference functions Currently, most of the industrial inspection services on the market are traditional AOI software industrial inspection machines, which can only measure product contours such as the head and length of fasteners, etc, and cannot truly provide 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of fasteners, small metal parts and passive components In terms of competitiveness in the industry, the software hardware integration provided by the AI six-sided defect inspection and screening professional machine is an important core competitive advantage of Xiaoshi Intelligent Inspection It is not as simple as it sounds Hong Peijun said with emotion that this special machine is very important in the industrial inspection industry Commonly known as the highly integrated integration of optical mechanisms, electronic controls, software and algorithms, the process requires continuous optimization and iteration, and requires multiple client verifications and modifications After a long period of hard work, the technical threshold has also been raised The AI six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years It is believed that AI combined with measurement technology and surface defect detection will be an important source of core competitiveness of Xiaoshi Intelligent Inspection, Hong Peijun said AI six-sided defect detection and screening professional machine will be the main product promotion direction of Xiaoshi Intelligent Inspection in the next 3-5 years Faced with the booming development of Industry 40 in smart factories, customers often ask "Does quality inspection data have secondary use value" Hong Peijun said that the "AI Industrial Quality Inspection Platform" launched by Xiaoshi Intelligent Inspection has a machine learning mechanism , which can be used for secondary use of quality inspection data to provide customers with multiple functions including real-time monitoring and early warning of production quality, quality traceability analysis, quality factor assessment, process parameter prediction and recommendation Taking the successful introduction into the automotive parts factory as an example, through the prediction and recommendation of process parameters provided by the AI industrial quality inspection platform, when we know the product defects, we build a set of models based on the experience of past masters, coupled with the network connection data from the previous stage, After integration, we have process data, incoming material data, and quality inspection data We can predict whether these machine parameters have run out, and we can recommend whether the process parameters of certain sections should be adjusted up or down Through the AI industrial quality inspection platform, Xiaoshi Intelligent Inspection can help customers connect visual quality inspection results, process data and acceptance standards with the existing MES system of the customer's factory to improve production quality, improve efficiency and reduce costs In terms of business model, Xiaoshi Zhiqian also provides a software subscription system for the deep learning detection modeling platform software It provides public cloud customers with traffic subscription and charges based on the amount of image uploads, while private cloud customers adopt an annual license fee license charging mechanism In addition, the company also provides customers with a buyout charging mechanism for the overall solution equipment, and provides a one-year warranty, after which consumables and software update maintenance fees are charged annually Going in the opposite direction, using both hard and soft methods, with a missed detection rate of less than 1 and rapid modeling in 15 minutes Faced with various small-volume and multi-sample inspection needs in the manufacturing industry, general AI deep learning visual inspection usually requires customers to collect a large number of photos of defective products, which is time-consuming to label, and also causes customers to have difficulty in importing AI, and defective products cannot be collected The introduction cycle is long and implementation is full of risks If there are not enough bad samples, the model will be inaccurate Kosaki Chikan goes in the opposite direction and uses its product "AI Visual Inspection Model Development Tool" to train models through pictures of good products provided by customers It is relatively easy for AI to learn good products, no labeling is required, and the time can be quickly compressed to complete the modeling Take the implementation of IPC electronics industry - AAEON Technology as an example In order to reduce the manpower input of the quality inspection station in the PCBA production line and have standardized quality inspection, Xiaoshi Intelligent Inspection provides an overall solution for PCBA AI visual inspection software and hardware services, and conduct in-line inspection on the factory's highly automated assembly line, effectively saving inspection manpower investment, improving the standardization of quality inspection rates, and improving the problem of inconsistent standards caused by manual visual inspection Through 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in making up for mistakes, provide better services, provide more immediate feedback, and create more professional solutions to convince customers Since its establishment in 2020, Xiaoshi Intelligent Inspection has always gone against the grain in terms of product core strategic layout, surpassing the competitive market among its peers, and actively taking root in the overall solution of AI visual inspection software and hardware Hong Peijun hopes that Xiaoshi Intelligent Inspection will become the world's most competitive AIAOI overall solution provider for the electronics and semiconductor industries in the future, and provide the top AIAOI professional machines and equipment to the electronics and semiconductor industry customer base Hong Peijun said that the technical capabilities of the company's AI six-sided defect detection and screening professional machine have reached the top domestic level In order to speed up the research and development of professional machines to become more standardized and sell them to overseas markets, the company will conduct a fundraising plan at this stage, hoping to use legal persons such as the Capital Strategy Council to assist in more business connections and fundraising channels For the medium and long-term goals, Xiaoshi Intelligent Inspection will lay out the global market including mainland China and Southeast Asian countries At the same time, it will follow the international footsteps of major OEMs in global layout Under the target inspection project, it will continue to develop specialty products and spread towards the international field 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」