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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
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▲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】客廳化身為健身房 Uniigym矢志成為健身界的Netflix
Living Room as a Gym: Uniigym Aims to be the Netflix of Fitness

Afflicted by the pandemic, most people choose to stay at home However, for those who enjoy exercising, missing a day at the gym can feel uncomfortable With Uniigym's 'AR Fitness x Uniigym' app, users have access to nearly 1,000 diverse exercise classes With a dedicated AI coach, users can exercise anytime they wish, while also tracking their fitness journey, and understanding their condition completely To encourage public fitness and fight the pandemic together, Uniigym has also collaborated with Chunghwa Telecom, offering free access to the 'AR Fitness x Uniigym' app for 30 days starting from now until the end of June, contributing to the public health effort Founded in 2019 by CEO Yu-Chieh Lin, Uniigym was conceived from the monotony and limited options of gym venues like fitness centers and school gyms, and low interaction with trainers The company aims to make exercising as fun as gaming through technological solutions, starting with their first product—an intelligent dynamic projection system that has gained favor in the fitness market Uniigym continuously innovates fitness products creating a comprehensive platform for sports health Uniigym is dedicated to creating an immersive fitness course platform starting from offline venues to an online platform, thereby achieving a full spectrum of fitness content and increasing data traffic for enhanced monetization capabilities Over three years, Uniigym has continued to develop new products So far, they have reached the third generation of products In addition to the Uniicube, a dynamic projection fitness system, there's also Uniihome, which turns living rooms into gyms through set-top boxes provided by Taiwan Broadband Communications and cable television provider Kbro Furthermore, the third generation, Uniicell, allows users to exercise anywhere anytime with mobile devices and 5G networks Next, Uniigym plans to launch the fourth generation, Uniicare, targeting businesses and government employees with camera and heart-rate devices to gather health data and offer health management solutions Features of the AR Fitness x Uniigym App "Uniigym is a combination of Netflix and Nintendo, aiming to become the Netflix of the fitness world" By lowering the barriers to exercise through Uniigym's diverse workout classes and fostering a national habit of exercise, marketing director Shu-Wei Wang explained the company's strong ambition and its ongoing progress towards these goals Since the launch of the AR Fitness x Uniigym app in collaboration with Chunghwa Telecom in November 2021, the app has seen over 20,000 downloads in less than half a year, featuring nearly 1,000 multi-category classes including aerobics, fat-burning, body sculpting, strength training, yoga, boxing, and popular dance Built-in latest AI posture algorithm for real-time monitoring of exercise state The AR Fitness x Uniigym APP features six key functionalities, consisting of One Celebrity fitness courses, featuring a hundred top instructors, pick and practice anytime without appointment Two AI real-time motion matching that captures 20 skeletal points of the body through the phone's camera, accurately comparing movements and providing instant feedback Three AR fitness trainer, accompanying you in any environment, personally guiding the workouts, making the fitness experience more engaging Four Gesture remote control interface, allowing you to remotely access various features, making operations easier Five Supports screen casting, syncing the phone with TVs and screens to enhance immersive exercise experiences Six Self-data tracking, fully recording fitness progress including exercise hours, calories burned, and training programs AR动滋动 x Uniigym Rise to Exercise, Safeguard Health TAIWAN SAFE Event Introduction Most importantly, the system platform integrates the latest AI posture algorithm, comparing user movements and skeletal points with those of the fitness trainer during exercise, combined with heart-rate belts to display changes in heart rate on the screen during exercise By employing technology in exercise, it not only protects users during training but also helps in logging physical energy consumption, effectively enhancing exercise efficiency and preventing exercise injuries Uniigym is deeply rooted in Taiwan and expanding to international markets In fact, Uniigym's products are iteratively evolved according to different user groups The second generation product, Uniihome, turns living rooms into gyms in collaboration with the television system platforms, Taiwan Broadband Communications and Kbro, featuring set-top boxes with a menu of 1,700 classes, each lasting 3-5 minutes suitable for all family members ranging from grandparents to children, providing a freely selectable fitness menu for different groups AR Fitness x Uniigym App Product Experience Scenario Illustration In the post-pandemic era, exercising at home has become a trend Uniigym's interactive sensor-based fitness courses offer consumers a convenient, economical way to exercise anytime, anywhere It eliminates the need for purchasing fitness equipment or spending on expensive courses, as users can enjoy personal guidance from an AI coach directly through their smartphones, enhancing their willingness and frequency of exercise, playing an essential role in promoting a healthier lifestyle for all Uniigym provides a combination of online and offline AI cloud-based interactive sensor technology services, matched with home settings and various types of exercise spaces, to offer consumers an entry-level threshold to enjoy professional and entertaining fitness experiences anytime, anywhere This innovative business model has attracted investments from renowned Taiwanese listed companies such as, Nan Yih Textile and Taishin International Bank, and also partnerships with notable international sports enterprises like Decathlon Besides deep-rooting in the Taiwanese market, Uniigym is also actively expanding into international markets including Singapore, Thailand, and China This year 2022, Uniigym plans to launch its products with the Singaporean telecom group Singtel, allowing Chinese-speaking users and a broad international audience to enjoy new interactive sensor-based fitness courses In the future, Uniigym will also introduce home-based health management solutions for corporate and government employees, where employee health data is collected during exercise through cameras or heart rate devices, analyzed, integrated, and linked with health and medical data to achieve preventive medical goals Uniigym founder and CEO, Yu-Chieh Lin「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

這是一張圖片。 This is a picture.
AI Smart Health Prevention Plan

Herji Ltd held an interactive teaching session with AI storybooks at the 'Taiwan Early Childhood Development and Remedial Association Taitung Office', allowing children, teachers, and parents to engage in immersive educational experiences AI-generated children's educational storybook materials AI Learning Platform In recent years, changes in the social structure of Taiwan, combined with experiences in hospital emergency departments, have often led us to overlook the depressive symptoms exhibited by adolescents, resulting in tragic incidents of self-harm or even suicide among children A significant part of children's depression stems from their academic performance, with parents worrying about their children's future competitiveness, thus placing a lot of pressure on children who perform poorly academically In a family with two children with the same genetic background and provided with the same resources for growth, we often find that the second child's academic performance is not up to par, with poor grades, an inability to concentrate in class, and even lacking the patience and perseverance to finish reading a comic book or playing a video game We have been exploring why these differences occur and discovered that these issues often arise from undiagnosed learning disabilities during early childhood Due to environmental factors, children with delayed learning abilities are often not acknowledged by over 80 of parents who are reluctant to seek treatment for their children, primarily fearing that their child will be labeled as delayed As a result, the child's learning ability is hindered from an early age, with their academic struggles increasing as they enter primary and secondary school, leading to greater academic lag, frustration from parents, struggles from the child, and increased family disputes If tutoring does not yield effective results, expenditure without achieving positive outcomes often leads to further family conflicts, creating a vicious cycle that accumulates a lot of negative emotions in children during their developmental process, which in turn affects various factors impacting their health In reality, the main reasons behind a child's poor academic performance, inability to learn, lack of interest in learning new things, or even developing health-impacting psychological conditions, actually stem from accumulated learning delays during early childhood The period before the age of six is considered the golden window for treating learning delays If these can be identified and addressed during this time, there is a chance that the child's learning abilities can be greatly improved10The industry's current pain points are as follows 1Lack of methodologies for assessing learning abilitiesLack of databases for sample comparisons in the market 2Traditional parental misconceptionsFear of labeling and treatment delays for mild to moderate cases 3Lack of therapeutic materials and toolsShortage of therapeutic storybooks and series courses This project will develop a national talent development support system, utilizing AI Technological development of a system for assessing children's learning abilities that supports parents in safeguarding their children's health from the start of learning ability testing, offering early detection and treatment In the future, all Taiwanese children, regardless of background, will be able to establish a healthy foundation in early childhood, growing up to become valuable assets for national development 2、 As proposed in this planAIApplications and explanations 'Child Language Ability'AI'Analysis Model' This model quantitatively analyzes 'the condition of children's use of Mandarin' when 'expressing an event' Scenario Preschool teachers guide children in narrating storybook contentAITools analyze the sentences used by children to describe storybook content, applying statistical algorithms for quantitative analysis Analysis indicators include 'sentence type' and 'lexical items' Analysis aspects include correctness of sentence structures, diversity of vocabulary, quantity of vocabulary used, and accuracy of vocabulary usage Application Comparative analysis between an individual child and peers' language abilities can offer more detailed language skills teaching by preschool teachers Techniques used Chinese word segmentation, Chinese POS tagging, Chinese syntactic rules analysis algorithm, and quantitative analysis algorithms Tools usedChinese word segmentation tools, POS tagging toolsChinese POS Tagging Tool 3、 Expected Industrial Value Establish a learning ability assessment and support system, through therapeutic storybooks and courses Collaborate with kindergartens to develop learning ability bases, preventing children from being stuck at the starting point Alongside parents, protect children's health starting with learning ability testing, backed by a robust database, allowing parents to identify early any delays in learning, helping children regain their learning abilities 4、 Expected Industrial Benefits Economic Benefit and Future Spread and Impetus By supporting children with delayed learning abilities, enhancing their learning prowess through this project, these children serve as the future of our nation and can thus significantly contribute to national talent development Furthermore, the purpose of establishing a learning ability development base is to help reunite children with their parents, increasing their interaction time, allowing the children to move beyond mere one-dimensional interactions 3C This facilitates two-way interactions between the child and parents, potentially impacting children who may have been otherwise delayed in developing their capabilities due to environmental factors 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-11-15」

【解決方案】2秒鐘完成結帳動作 Viscovery AI影像辨識助攻智慧零售
Complete checkout in 1 second, Viscovery AI image recognition assists smart retail

Artificial intelligence AI has gradually changed the way various industries operate in recent years However, most of the work is still done by humans, with AI playing a supporting role This has led to emergence of the term "AI Copilot," which stands for "AI-driven tools or assistants" that aim to assist users in completing various tasks and improve productivity and efficiency The concept of AI Copilot comes from the role of "co-pilot" During flight, the co-pilot assists the main pilot in completing various tasks to ensure flight safety and efficiency In fact, there have been signs of various "machines" beginning to play the role of "copilot" in different fields since the Industrial Revolution, assisting humans in completing heavy physical and repetitive tasks, greatly improving factory production efficiency, and driving rapid economic development Following the advancement of computing equipment and breakthroughs in machine learning, deep learning, and image recognition technologies, the concept of AI Copilot has gradually taken shape The development of AI Copilot marks the transition from "machine-assisted to AI-assisted" Early robots could only complete preset repetitive tasks, but today's AI copilot can learn and adapt to new environments and tasks, and continuously optimize its performance in practical applications This transformation not only changes human-machine interactions, but also has a profound impact on various industries The application scope of AI copilot covers various industries, including finance, healthcare, manufacturing, education, retail, etc, and are everywhere to be seen Application of AI copilot in the retail industry AI image recognition checkout In the retail industry, the application of AI copilot has begun to show concrete results Take Viscovery's AI image recognition checkout system as an example This system is a type of AI copilot model that helps store clerks speed up checkout or assists consumers in simplifying the self-service checkout process The store clerk needs to scan the product barcodes one by one in the regular checkout method If a product does not have a barcode, such as bread and meals, the clerk needs to first visually confirm the items, and then input them into the POS checkout system one by one Based on actual measurements at a chain bakery, it takes 22 seconds for an experienced clerk from "visual recognition" to "entering product information of a plate of 6 items into the checkout system" New clerks may need even more time In addition, according to a Japanese bakery operator, it takes 1 to 2 months to train employees to become familiar with products Now with AI image recognition technology, store clerks let AI handle the "product recognition" step, and AI will play the role of copilot, quickly identifying items within 1 second, speeding up checkout to save 50 of checkout time, and optimizing customers'shopping experience The time cost of training employees to identify bread can also be effectively shortened Even for products with barcodes, AI can quickly identify multiple items in one second, which is more efficient than scanning barcodes one by one The self-checkout system "assisted" by AI image recognition allows consumers to successfully complete shopping without the help of store clerks, eliminating the trouble of swiping barcodes or searching for items on the screen, which improves the shopping experience In a time when store clerks are hard to hire due to labor shortage, this also helps stores reduce operating costs AI quickly identifies multiple checkout items in just one second Source of image Viscovery Recently, startups dedicated to developing AI image recognition checkout solutions have emerged in various countries The most lightweight solution currently known is in Taiwan It can be immediately used by installing a Viscovery lens and a tablet installed with Viscovery AI image recognition software at the checkout counter to connect to the store's existing POS checkout system There are various integration methods, including plug-and-play and API solutions integrated with the store's POS system Viscovery AI image recognition system can be painlessly integrated with the store's existing POS system Source of image Viscovery Example of AI image recognition checkout Currently, the Viscovery AI image recognition system is being used in bakery chains in Taiwan, Chinese noodle shops in Singapore, micromarkets in department stores in Sendai, Japan, and Japanese bakeries and cake shops Over 7 million transactions were completed through this AI system, which identified more than 40 million items These use cases demonstrate the extensive application of the Viscovery AI image recognition system in the retail industry In the future, the company will continue to explore the various possibilities of using Vision AI in retail and catering nbsp The Viscovery AI image recognition system is already being used in bakeries, cake shops, restaurants, and convenience stores in Japan, Singapore, and Taiwan Source of image Viscovery