Special Cases

14
2021.10
【2021 Application Example】 Advancing to Smart Logistics 5.0: Hsinchu Logistics Delivers Medical Materials with Ultra-High Efficiency

After incorporating AI technology, traditional logistics companies have seen significant improvements in transportation efficiency and reductions in transportation costs, especially in the transfer of medical materials which involves timely service and rights of hospitals and patients The implementation of intelligent logistics can save medical material businesses the cost of constructing GDP warehouses and other expenses up to millions A major domestic logistics leader, Hsinchu Transport HCT, owns a fleet of 3,500 vehicles and a storage area of 60,000 square meters, providing customized logistics solutions including logistics, commerce, finance, information, distribution, storage, and processing The company handles up to 580,000 parcels per day, with a maximum capacity reaching 900,000 parcels, making the enhancement of transshipment efficiency crucial for HCT Medical materials transportation at hospitals need optimization of current operational processes and enhancements in systematization and intelligence Especially the transportation of hospital medical materials, which encounters various challenges Medical materials suppliers need to cater to varying customer product demands, temperature requirements, and delivery times through multiple logistics providers This highly depends on the experience and careful control of operations staff Whether it is the product shipment or actual logistics process, each step must be interconnected Any human errors can impact the service timing and rights of the hospitals and patients Thus, all concerned businesses, along with the government and hospitals, are working to optimize current operational processes and elevate the level of systematization, automation, and intelligence to minimize service errors and cost losses HCT's distribution process prior to AI implementation Currently, with the government's push for standardized platform operations on the demand side of hospitals, supply-side businesses collaborate through data coordination to improve the accuracy and efficiency of product shipments, enhancing operational quality and management benefits at the demand side At the same time, some businesses are also investing in the standardization and systematization of internal operational processes, thus enhancing operational efficiency and quality In the freight logistics sector, logistics companies' warehouse staff need to expend labor to control different logistics shipment operations If they often receive emergency task notifications for shipments to medical facilities, they usually depend on small regional logistics providers to provide customized delivery services Although this improves delivery times, it does not allow for integrated informational services The new GDP regulations for medical materials require suppliers to undergo GDP compliance certification Therefore, Hsinchu Transport, assisted by the Ministry of Economic Affairs' AI coaching program, not only extends existing logistics services compliant with GDP regulations but will also use data integration and optimized AI technologies to help medical material businesses streamline and improve their logistics operations Complex logistics issues are solved using the Simulated Annealing SA algorithm To meet the 'Good Distribution Practices for Medical Devices,' Hsinchu Transport is not only actively introducing new logistics vehicles but will also implement artificial intelligence-based mathematical optimization technologies to assist in intelligent scheduling at nationwide business points and transshipment stations They aim to optimize the routing of medical materials between business points or regions thereby enhancing efficiency in the distribution process Currently, during the transshipment process of medical materials at Hsinchu Transport, detachable tractor heads and containers are used Each business point and transshipment station differ in location design and staffing, impacting the throughput per unit of time Furthermore, daily cargo conditions size, destination vary, and due to these fluctuating and distinct demands, the deployment of tractor heads and containers changes accordingly Under these circumstances, Hsinchu Transport relies on past experiences to schedule departures at each satellite depot and adjusts daily according to the cargo needs Due to the reliance on empirical scheduling, it is often difficult to consider all variables and considerations, leaving room for improvement in the current departure schedules The cargo delivery planning inherently constitutes an NP-Hard problem, difficult to solve with traditional analytical methods Hsinchu Transport, in collaboration with Singular Infinity, utilizes the Simulated Annealing SA algorithm to find solutions The new logistic service introduced by Hsinchu Transport is 'GDP Container Shift Planning' This planning involves estimating future volumes of medical materials between stations and scheduling container truck shifts accordingly, ensuring timely and quality delivery of medical materials while maximizing operational benefits and reducing travel distances Hsinchu Transport introduces AI-optimized shift planning, constructing the most efficient route from its origin to destination Hsinchu Transport introduces 'Optimized Shift Planning' service, reducing transportation costs by 5 The introduction method involves using cloud software services Hsinchu Transport regularly inputs 'Interchange Item Tables' from station to station into the 'Optimized Shift Planning' service After setting the algorithm parameters, a GDP container shift schedule is generated At the same time, developing a Hsinchu Transport medical material scheduling system allows Hsinchu Transport's medical transport units to compile suitable schedules through the Interchange Item Tables Under the same level of service, it's estimated that this can reduce transportation costs by 5, saving medical material businesses millions in construction costs for GDP warehouses and distribution Due to its requirements for sanitation, temperature, and its fragility, the transportation and transshipment of medical materials should be minimized to reduce exposure and risk However, logistics efficiency and costs must still be considered AI designs the most efficient route for each cargo from its origin to destination, effectively completing daily transportation tasks In response to the future high development demand of industrial logistics, distribution and transshipment AI optimization will be a key issue Through this project, a dedicated project promotion organization will be established, staffed with AI technology, IT, and process domain talents After accumulating implementation experience, the application of AI will gradually expand, comprehensively optimizing and transforming Hsinchu Transport's operational system, and partnering with AIOT and various AI domain partners to accelerate and expand the achievement of benefits「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2021-10-14
【2020 Application Example】 Peeking into a Baozi to See How AI Reduces Scrap Rates by 50% and Boosts Production Efficiency by 60% for Frozen Foods

From production line to dining table, who oversees the hygiene management of what we eat In recent years, there has been a continuous stream of news reports concerning food safety, such as repackaging expired goods, and poisoning incidents at Hong Rui Zhen It's clear that people are increasingly concerned about the hygiene of their food However, due to various quality control methods in food processing, there are inherent risks The World Health Organization WHO has pointed out that unsafe food and water cause physical harm to 2 million people each year Hence, international markets demand that food processing companies must establish a traceability system for products This is why major domestic food processors also aim to set up a production traceability system to quickly trace back to problematic raw materials and initiate recall and destruction of problematic food Visible assurance, implementing production transparency A major domestic food manufacturer producing frozen food and instant meals has expanded its market presence to North America, New Zealand, Japan, etc They are also at the forefront in promoting food management domestically, having obtained certifications such as HACCP, ISO22000, ISO14001 Since food production is labor-intensive, it is prone to quality impacts caused by worker fatigue Additionally, the production lines often have unclear records of production quantities, processes, and timing This obscurity in traceability makes it difficult to track production information when defects occur, leading to food safety management gaps that result in the scrapping of entire batches To address this, the Production Development Center at National Sun Yat-sen University utilized its advisory resources to help the food manufacturer tackle food safety management challenges, planning the use of AI technology to collect production data and establish anti-fraud and traceability for food production Intelligent manufacturing boosts food safety Although the level of automation is not high in the processing of bakery products, the food plant in this case is keen to enhance the automation of its production lines and introduce smart manufacturing For businesses, a traceability system not only helps establish brand image and increase product and brand value, but also gives consumers peace of mind due to the transparency of production lines Therefore, the Production Development Center at National Sun Yat-sen University matched AI technology service providers, Hong Ge Technology, in the first phase to plan the introduction of data collection devices to link food work orders information, reducing human operational omissions and capturing real-time production information through dashboards to ensure the consistency of production stage information potentially affected by human factors Schematic for intelligent production line planning The second phase involves using deep learning during the dough fermentation stage to calculate size and volume, analyze the relationship between temperature, humidity, fermentation time, and product volume, and assess whether to introduce AOI foreign object detection after freezing as a second quality control step Schematic of AI-integrated quality control for finished products Food processing ID card, launching the AI-era of food safety tracing In Taiwan, the understanding and acceptance of production history by consumers is gradually improving From the supply of raw materials, processing, production, to distribution and sales, it is necessary to have complete control and provide transparent information Publicly disclosing the production history not only increases trust between enterprises and consumers, but also aligns Taiwan's food safety environment with international standards In 2020, the Production Development Center at National Sun Yat-sen University will assist enterprises with the adoption of advanced AI technology, documenting the entire data process from industry to dining table and supervising food production processes to successfully implement product tracing, prevention of adulteration, and the establishment of high standards for products, thus advancing food processing products to international standards「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2020-03-12
【2020 Application Example】 "AI Color Recognition and Cost Optimization Control System" automatically recognizes colors, breaks through the traditional color grading model, significantly reduces costs, and improves yield!

Mixing new colors relies on the experience of master craftsmen The so-called "computer color matching" in the paint industry is simply the selection of "existing colors" for mixing, but there is actually no way to mix paint for a ldquonew colorrdquo and it all relies on the experience of master craftsmen Hence, it is necessary to start from scratch when a new color is encountered, which consumes a lot of manpower and time Moreover, due to the different color mixing habits of each master craftsman, the cost can be significantly different despite producing the same result The trilogy when paint factories face the crises of transformation I Lack of color mixing standards Generally, when traditional paint factories produce new colors, they will use a "spectrophotometer" to measure the LAB value of the sample color, and then the paint mixer will mix the paint of that color based on past experience After color mixing is completed, the instrument will be used to test the LAB value and C and H wavelength This process does not have a complete system and database records, and there are not standards for color mixing II Production costs are difficult to control Paint factories produce many pigments with different materials and functions, and the cost of paint will vary depending on the "color masterbatch material" used Even if the color number of the masterpiece is the same, the cost will be different if the ratio of the color masterbatch is different Paint mixers do not have a set of color mixing standards when mixing paint, making it difficult to control production costs III The color grading process is lengthy and personnel training is difficult As instruments cannot replace manual color mixing, the training of a paint mixer requires years of experience in paint mixing, familiarity with chromatology, as well as basic understanding of hue, saturation, and brightness If there is no basic reference color values when mixing paint, the paint mixer must spend a lot of time repeatedly mixing colors, resulting in a loss from time cost Developing an "AI Color Recognition and Cost Optimization Control System" The paint factory engaged in industry-academia collaboration with the Department of Computer Science amp Information Engineering of Chaoyang University of Technology through CDIT Information Co Ltd, and utilized the university's AI research capabilities to jointly develop the "AI Color Identification and Cost Optimization Control System" It established a database of "paint color numbers" and "color masterbatch material cost," and analyzes the optimal color mixing and optimal cost formula through data mining methods The paint mixer can refer to the formula analyzed by the system for color mixing, and then input the formula into the system after paint mixing is completed The formula is fed back to the basic database and an "artificial neural network model" is used by the system for deep learning, establishing a color grading standardization system for cost control and data collection, so as to solve the current difficulties faced by paint factories In the early stages of system development, CDIT planned the system requirements of the paint factory, established the system architecture and system database, and then worked with Chaoyang University of Technology on the implementation of model functions for the application of data mining and artificial neural network After the system is completed, CDIT will assist the paint factory in system testing and correction The system will be introduced after correction and testing are completed, and training on system use will be provided to ensure the correct use of the system System Screen Differences before and after using the system Expand new markets for the paint industry to see the paint industry thrive The "AI Color Recognition and Cost Optimization Control System" collects the color mixing formulas of paint mixers, establishes a paint color masterbatch formula database, and records the cost of each color number The system's deep learning function is then used with a spectrophotometer to analyze the optimal color mixing formula for each data entry, so that the paint factory can control the cost of paint mixing The optimal color mixing formula recommended by the system increases the speed of paint mixing and increases output value Future benefits include The improvement in product yield reduces customer complaints and improves customer satisfaction The breakthrough in the traditional color mixing model improves corporate image Improves the efficiency of paint mixing, and allows the remaining time to be invested in training to enhance the professional capabilities of personnel It will also allow the joint expansion of new markets with the paint industry and learning of new application technologies, and promote them to other paint companies, enhancing the industry's overall competitiveness to see the paint industry thrive

2020-08-11
【2022 Application Example】 Even the United Nations is on board! Yoyo Data Application captures global business opportunities with agricultural data

Nearly 2,000 days in the fields have made Yoyo Data Application a top player in Taiwan’s agricultural data sector Their comprehensive grasp of crop yields, production periods, and prices has enabled them to collaborate with the United Nations The service area for agricultural land skyrocketed from 24 hectares to over 6,000 hectares in less than three years—a 250-fold increase For Wu Junxiao, founder and CEO of Yoyo Data Application, aligning with global environmental trends and becoming a data company at the intersection of climate technology and the green economy to serve the global market is his ultimate entrepreneurial goal Wu Junxiao, originally an engineer, joined the Industrial Technology Research Institute in 2010, where he honed his profound technical and data science analytic skills 'At that time, I was working in data analysis engineering, and almost all data-related materials would be directed to me Additionally, I worked on indoor cultivation boxes, planting vegetables and mushrooms, hence planting the seed of entrepreneurship by integrating agriculture with data analysis,' Wu recalls Since 2016, Wu Junxiao has been frequently visiting farms to 'embed' himself among farmers and agricultural researchers, chatting and sharing information systematically, which quickly established his agricultural know-how Solid data analysis capabilities have even convinced the United Nations In 2017, he left the Institute to start his own business and founded Yoyo Data Application in 2019 Today, many agricultural businesses are his clients, with service areas rapidly climbing from 24 hectares to over 6,000 hectares, expected to surpass 7,000 hectares in 2022 His clientele includes markets in Japan, Central America, and even entities under the United Nations like the World Farmers Organization, which utilizes the 'Yoyo Crop Algorithm System' supported by Yoyo Data How exactly does Yoyo Data Application manage to impress even UN agencies The 'Yoyo Crop Algorithm System' developed by Yoyo Data Application accurately predicts the production period, yield, and prices Firstly, due to Wu Junxiao's precise mastery over agricultural data, Yoyo Data Application's clients don't necessarily need sensors or other hardware devices 'Sensors are expensive and if you buy cheap devices, you just collect a lot of noise or flawed data, which is useless,' Wu explains He continues, 'Collecting data doesn't necessarily require sensors our data solutions can solve problems more directly and effectively' For instance, one of Yoyo Data Application's products, the Yoyo Money Report Agri-price Linebot, developed in collaboration with LINE in 2020, gathers data on origin, wholesale, and terminal prices spanning over 10 years, driven by Yoyo Data’s proprietary AI algorithms This enables the system to autonomously learn about agricultural product trading prices, using big data and AI to perform price prediction analysis, thereby helping buyers reduce transaction risks and expanding the data application to the entire agricultural supply chain Regarding banana prices, the accuracy of price predictions increased from the original 70 to 998 Wu Junxiao notes that both buyers and farmers are very sensitive to prices Now, through the Yoyo Money Report service, both buyers and farmers can precisely understand the fluctuations in agricultural product prices Yoyo Data can also provide customers with optimal decision-making advice based on predictive models for crop growth, yield, and price estimations Currently, price predictions cover 28 types of crops Precise estimates of production periods and price fluctuations allow Yoyo Data to provide differentiated services based on data analysis The 'Yoyo Crop Algorithm System' provided by Yoyo Data Application incorporates a 'Parameter Bank', usually collecting 200-300 parameters, not just straightforward data like temperature and humidity, but also data divided according to the physiological characteristics of the crops Through effective dynamic data algorithms, it can accurately calculate when crops will flower and when they can be harvested, what the yield will be, and so forth For instance, the prediction accuracy of the broccoli production period is 0-4 days, with the flowering period predicted this year to be precisely 0 days, perfectly matching the actual flowering time in the field In these dynamic calculations, a 7-day range is considered reasonable, and the average error value of Yoyo Data's predictions typically ranges from 2-4 days, with most crop production period accuracies above 80 Through effective dynamic data algorithms, over 120 global crops can have their production periods and yields accurately estimated Using these effective dynamic data algorithms can set estimates for production quantities, helping adjust at the production end Yoyo Data Application's clientele primarily includes exporters of fruit crops like pineapples, bananas, guavas, mangos, pomelos, sugar apples, Taiwan's agricultural production is highly homogenized, often leading to a rush to plant the same crops and resulting in price crashes Yoyo Data Application helps clients differentiate their offerings Thus, Wu Junxiao positions his company as a boutique digital consultant, carefully selecting clients for quality over quantity He notes that Taiwanese agricultural clients focus on how to improve yield rates, even categorizing yield rates by quality, aiming for high-quality, specialized export markets whereas international clients prioritize maximizing per-unit yields, showing different operational approaches in domestic and international markets In addition to agricultural fruit, Yoyo Data Application has also extended its services to the fisheries sector, including species like milkfish, sea bass, and white shrimp, all using the same system to establish various parameters related to the growth of fish and shrimp, such as when to feed and when to harvest, and the anticipated yield, timing, and prices Yoyo Data Application harnesses the power of data to create miracles in smart agriculture In response to the company's rapid development, Yoyo Data Application introduced venture capital funds in 2021 to expand its staff and promote its business Wu Junxiao states that in response to the global trend towards net zero carbon emissions by 2050, he plans to help clients plant carbon in the soil, effectively retaining carbon in the land while also connecting clients to carbon trading platforms, creating environmental business opportunities together Wu Junxiao says that from the start of his entrepreneurial journey, he positioned the company as a global entity, thus continuous international collaborations are planned As a data company serving a global clientele and focused on climate technology and the green economy, this represents Wu’s expectations for himself and his company's long-term goals Yoyo Data Application founder and CEO Wu Junxiao「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

2022-03-14

Records of Solutions

【解決方案】跟駭客賽跑 漢昕科技將運用AI精進資安防護服務
【2021 Solutions】 Racing against hackers, Hanxin Technology will use AI to improve information security protection services

The novel coronavirus pneumonia COVID-19 is raging, causing government agencies, public and private enterprises to adopt remote work or online video conferencing, but it has created loopholes for hackers to invade Domestic information security preparation expert Hanxin Technology General Manager Chen Jianliang said, "As high as the road is, so high is the devil" Information security protection is equivalent to "racing with hackers" Hanxin Technology will develop the use of AI technology to collect hacker behavior patterns to quickly grasp hacker trends , to ensure the organization’s information security Affected by the spread of the epidemic, hackers have launched large-scale attacks reaching the national security level Global network security vendor Fortinet released the "FortiGuard Labs Global Threat Pattern Report" in August 2020, which provides an overview of global network attacks in the first half of 2020 It pointed out that the number of virus activities detected globally is higher than in the past An increase of 131 Affected by the spread of the epidemic worldwide, remote working and working from home have become new ways for companies to maintain operations This has also resulted in a large number of hacker attack vulnerabilities Under large-scale hacker attacks, the impact has even reached the national level In addition, according to technology research company Cybersecurity Ventures, cybercrime may cause losses of up to US6 trillion approximately NT170 trillion by 2021, exceeding Japan's GDP Recently, there have been frequent reports of government agencies or enterprises being attacked by cyber hackers Hanxin Technology, which has been established for 17 years, also believes that with the popularity of emerging technologies such as 5G, IoT, and AI, in addition to traditional personal computers PCs, notebooks In addition to computers, terminal devices such as mobile phones, tablets, and IoT may all become targets for hackers to attack and steal sensitive data The importance of information security is self-evident "The overall operational information system of an enterprise has three lines of defense in terms of information security, namely personnel, processes and tools" Chen Jianliang went on to analyze that the first line is personnel, whether each enterprise employee has defense concepts and professional skills, such as , social engineering is to detect whether employees have strong security awareness If employees use terminal devices to receive malicious emails and open them without alertness, leading to hackers or being infected by Trojan viruses, they will become a springboard for hackers, directly Hack and compromise centralized processing servers The second step is the process Although each company has formulated a standard operating procedure SOP, do the personnel conduct relevant tests according to the process, and whether they confirm that there is no danger after the test is completed The third level is tools, that is, technology Enterprises must test terminal tools, including terminal equipment, personal computers, mobile devices, and even Windows operating systems They must perform fixed testing operations Hanxin Technology’s four major professional services provide enterprises with tailor-made, all-round information security protection services Hanxin’s information security services are divided into four parts, including information security management consulting, information security audit and testing, solid personnel training courses and joint information security defense equipment Chen Jianliang said that Hanxin’s four major services include personnel, With three major aspects including processes and tools, we hope to provide enterprises with customized and comprehensive information security protection services The AI era is coming, and information security issues are becoming increasingly complex and important With the advent of the AI era, various data collection pipelines and devices are becoming more and more complex The collection, storage and application of data, and even the innovation of business models, are all involved in the lifeblood of company operations, and the requirements for information security are even more important However, hackers’ intrusion methods are also changing with each passing day Even Zero Day in the hacker circle the first time when information security weaknesses are discovered spreads rapidly with sharing on hacker-related forums Malicious program intrusions are difficult to prevent and pose a serious threat to the financial losses and goodwill of the enterprise In order to provide customers with tighter protection, Hanxin Technology uses AI technology For example, endpoint defense equipment has used AI to help collect data, and AI algorithms have been used to determine hacker behavior patterns and malicious programs, which will help To speed up the race against hackers Hanxin Technology’s information security testing services include vulnerability scanning services, penetration testing services, Web Server security testing services and email alertness testing, etc, which have been listed on the Software Procurement Government Joint Supply Contract Platform of the Industrial Bureau of the Ministry of Economic Affairs The largest Customers are government agencies, accounting for nearly 50, followed by the banking industry and high-tech industries Because Hanxin provides a full range of management consulting, technical auditing, education and training, etc When executing information security project tasks, we attach great importance to our commitment to customers and gain customer recognition, with a renewal rate of nearly 100 Integrating four major services, Hanxin will launch an integrated solution integrating AI technology Chen Jianliang said that due to the introduction of audit marks and systems, countries are paying more and more attention to information security For example, the European Union has issued the world’s most stringent General Data Protection Regulation GDPR, and Taiwan has also developed The proposed "Information Security Management Act" and the fact that Apple requires its supply chain to comply with relevant regulations will have a positive impact on the healthy development of Taiwan's information security industry Since starting his business 17 years ago, Chen Jianliang also lamented that, like the software service industry, the information security industry also has "people" as its most important asset However, the government's annual information budget is tightened, and the price per personday of the bid is decreasing year by year For the provision of For information security companies that value professional services, this creates a relatively unfavorable factor in operations Looking forward to the future, Chen Jianliang will actively integrate the four major internal departments and carry out cross-departmental organizational adjustments At the same time, the information security solutions proposed after the integration will be incorporated into AI technology to be more effective, accurate, fast and professional satisfy customer's request In terms of innovative business models, it adopts a subscription service sales model, allowing customers to purchase not only a single security product, but the entire solution Tailor-made comprehensive information security services such as self-diagnosis, problem analysis, introduction of tools, and education and training for customers to achieve the goal of "single window, full service" Chen Jianliang, General Manager of Hanxin Technology「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】加入行銷科技生態圈 漸強實驗室用 LINE 解決你的行銷問題
【2021 Solutions】 Join the Marketing Technology Ecosystem - Janchiang Lab Solves Your Marketing Issues with LINE

In the digital age, there are myriad advertising channels physical and digital ads, plus platforms like Facebook and Instagram, all competing for consumer attention Recently, the emerging LINE Official Account OA, backed by a substantial LINE ecosystem of technology partners, has gained prominence Janchiang Lab, a Silver Partner of LINE, harnesses AI to assist notable clients like RT-Mart, FamilyMart, and IKEA among 300 brands, helping them grow and solve their marketing issues Janchiang helps brand owners gain a deeper understanding of their customers, demonstrating significant benefits through Online Merge Offline OMO strategies With up to 21 million users, LINE has become one of the most dominant marketing channels in Taiwan Janchiang Lab, specializing in LINE data marketing since its establishment in 2017, foresaw the trend of app ecosystems when LINE announced it would open its API Hsueh Chin, Co-founder and CEO, joined the lineup of LINE technology partners, anticipating future trends Janchiang Lab established a LINE data ecosystem "Brands can consider Janchiang Lab's services as a Customer Relationship Management CRM system to better understand consumers," Hsueh Chin stated Janchiang provides three primary services to brand owners 1 Member Dynamics Insights Through Janchiang's MAAC backend system Messaging Analytics amp Automation Cloud, brand owners can quickly gain insights into each member's gender, browsing history, and purchasing behaviors Also, as each member accesses their LINE account at different times, the system sends advertising messages at the optimal time based on this activity 2 Proactive Product Recommendations The system detects when a customer purchases product A and proactively recommends product A or similar yet distinct products to enhance purchasing intent 3 Automated Consumer Journey After a customer purchases products in-store and joins the LINE official account, the system can set up to automatically send promotions after a certain period, to increase purchasing intent Janchiang Lab also strengthens the interaction between online and offline, utilizing beacon technology in retail storefronts They installed beacons at a furniture brand showroom, and whenever a beacon captured a consumer's phone Bluetooth signal, the backend system of Janchiang Lab proactively sent related advertisement broadcasts This project, from April to October 2020, significantly increased the brand's official account by nearly five thousand members, doubling its effectiveness Despite LINE's tens of millions of users, and logging into their LINE account being the first thing they do every morning, a primary concern for operators of LINE official accounts is the surge in messaging fees Hence, 'precision marketing' has become the most crucial principle for dispatching messages Janchiang Lab aids brands in understanding user profiles and thus tailoring messages to appropriate recipients, making LINE a foundational tool for CRM Users also do not need to download other apps, as they can perform their daily needs via the existing messaging channel, clearly displaying the power of LINE for marketing The pandemic accelerated the pace of digital transformation for companies Janchiang will increase customer service through multiple channels Annually, Janchiang Lab sends over two billion LINE messages, helping over 300 brand clients actively use data through data tracking and marketing automation technologies within LINE official accounts The pandemic has also sped up digital transformation steps for various industries including e-commerce, retail, media, and finance, with clients like ASO, IKEA, and Bookscom Janchiang Lab milestones However, during the advancement process, Janchiang Lab also heard the voices of digital transformation vendors who, facing many digital marketing channels, hope to not only invest in LINE but also diversify into other advertising platforms, like SMS, thereby helping brands enhance their overall reach After accumulating rich marketing data experience in Taiwan, Janchiang Lab also set sights on overseas markets like Thailand and Japan Given Thailand's local population of over 40 million LINE users, in September 2021, Janchiang Lab co-hosted its first online seminar with the local advertising agency Adme, leveraging its successful case studies with over 300 brands in Taiwan in industries such as e-commerce, retail, and media, aiming to offer a fresh digital transformation agenda to Thai brand owners AI social commerce sales software service iKala Shoplus also signed with Janchiang Lab, becoming its first major client as Janchiang Lab entered the Thai market Both firms will combine their strengths in the MarTech field to seize big data opportunities Dialogue-focused commerce AI startups GoSky and Janchiang Lab, in collaboration with iKala’s KOL Radar, have pooled their data to launch a social commerce traffic solution entering the social commerce battlefield Janchiang Lab is also partnering with CDP brand Treasure Data to make inroads into the Southeast Asian market Hsueh Chin acutely realizes that the future of the MarTech market will embody an ecosystem concept, involving strategic alliances between technologies to develop integrated services needed by clients For instance, if brand operators need LINE push notifications combined with e-commerce platform services, Janchiang initially collaborates with e-commerce platform vendors to integrate both databases, thereby sending e-commerce order information to specific LINE users to boost 'precision marketing' rates Likewise, if owners wish to conduct surveys among LINE members, they might first negotiate with online survey vendors to propose solutions, all part of future efforts In the short term, expanding cooperation with technology partners to jointly serve customers in the long term, Janchiang will gradually develop a complete product line to become the best marketing partner for brands Janchiang Lab Co-founder and CEO Hsueh Chin「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

 【解決方案】一站式智能行銷平台 領客智能行銷助中小企業突圍市場
【2021 Solutions】 One-stop intelligent marketing platform Lingke Intelligent Marketing helps small and medium-sized enterprises break through the market

As the algorithm continues to be updated, it is becoming more and more difficult to redirect traffic to the brand's official website through Facebook In addition, Google announced that third-party cookies will be retired by 2022 at the latest, making it more difficult to track advertising audience data, resulting in digital marketing costs Higher and higher The "AI intelligent marketing system" launched by Linker Intelligent Marketing will become the best helper for traditional enterprises to enter digital transformation, allowing business owners to "spend their advertising budget wisely" and assist small and medium-sized enterprises trapped by the epidemic Go overseas" and market in the global market Lingke Intelligent Marketing is led by Chairman Chen Zhenhao, who is good at data marketing Because of his enthusiasm, he combines technology marketing strategies, market strategies, and business applications to attract people from big data, software research and development, advertising, branding, and cross-border marketing The core team established by elites in the fields of international trade, design and other fields focuses on the technology research and development and market application of MarTech marketing technology Use AI intelligent technology combined with domain knowledge to create a one-stop intelligent marketing platform In fact, Chen Zhenhao has integrated his digital marketing businesses, including inbound digital marketing, leading intelligent marketing, digital public relations, growth performance strategy consulting, Ranking SEO, and Siyan Technology, to establish Digit Spark Zhenhao Internet Media Business Group There are as many as 800 customers, covering more than 16 industries The core team of Lingke Intelligent Marketing comes from elites in big data, software research and development, advertising, branding, cross-border trade, design and other fields Lingke Intelligent Marketing has developed a one-stop intelligent marketing platform with zero learning cost by combining its exclusively developed AI intelligent technology with its professional advertising know-how that has served the industry for many years Even business owners without any background in advertising can easily get started and intelligently eliminate any information that may cause misjudgment, allowing owners to make accurate decisions and navigate the world of digital advertising and marketing, and obtain the best results through MarTech tools Optimized digital advertising performance According to the MarTech Advisor survey, up to 84 of marketers believe that re-establishing MarTech tools is an important key for owners to gain an advantage in the market Therefore, Linker Intelligence provides a one-stop AI intelligent marketing system, which includes Three MarTech tools 1 AI Master advertising monitoring and optimization tool Enterprises use AI Master's fully intelligent mode to monitor and optimize advertising effectiveness 24 hours a day Through the intelligent warning function, high-cost and low-efficiency advertising activities can be immediately closed to stop the bleeding of owners immediately And through automatic audience segmentation and derived audience recommendation, we can identify potential customer groups, allowing companies to easily achieve high-performance advertising and gain performance 2 The AI Insights advertising reporting tool cross-platform integrates Taiwan's two major advertising platforms Google and Facebook advertising backends, providing owners with a dashboard that has both depth and breadth The data is updated every hour, allowing business owners to quickly grasp the latest advertising results and be able to rely on them Generate customized reports according to user needs with one click Use AI intelligent insight technology to provide multi-faceted data analysis and advertising rankings, and help owners interpret and identify the value information hidden in advertising data 3 SOV voice volume analysis tool digitizes voice volume, uses intelligent text exploration and semantic analysis to turn voices into valuable key data, grasps big market trends, and finds hot topics among competitors and industries Analyze which issues can trigger consumer responses and open up a path for companies to optimize the quality of decision-making Lingke Intelligence provides a one-stop AI intelligent marketing system This system includes three MarTech tools including AI Master advertising monitoring and optimization tools AI assists marketing, increasing advertising effectiveness by 2 times Lin Yangbin, CEO of Linker Intelligent Marketing, said that Linker Intelligence used a one-stop AI intelligent marketing system to successfully assist a business English learning platform to increase advertising effectiveness by 200 under the same advertising budget and reduce customer costs by 50 The cost of list collection has been reduced, and the monthly revenue has doubled compared with before In addition, during the epidemic, LinkIntelligence also cooperated with the Foreign Trade Association to assist Taiwan's traditional industries in switching from offline to online sales For example, it assisted sock manufacturers, machine tools, and plastic supplies manufacturers to successfully acquire customers online , whether it is assisting in updating websites or setting up web pages, they have helped retailers who originally only sold offline find a way to obtain orders stably online Although the epidemic has caused operational risks for the tourism industry, hotels, restaurants, etc, Linker Intelligent Marketing's annual performance is still showing 15-2 times growth, that is, the use of AI technology to create new revenue for advertising agencies and advertisers It has achieved remarkable results in reducing labor expenses, saving advertising budgets and increasing new revenue How to accelerate the digital transformation of business owners’ “thinking and decision-making aspects” is the biggest challenge faced by Linker Intelligence in promoting AI intelligent marketing In the five years since he started his business, Chen Zhenhao has seen the troubles and urgent needs of enterprises in digital advertising and marketing How to accelerate the digital transformation of business owners' "thinking and decision-making aspects" is what Linker Intelligence has encountered in promoting AI intelligent marketing The biggest challenge Enterprise digital transformation is divided into two levels "operational process" and "thinking and decision-making" The introduction of MarTech tools is mainly to assist the "operational process aspect", allowing enterprises to improve operational processes through digital tools and use big data to accurately manage and analyze Open up new markets, increase profits and reduce costs Digital transformation is not just about the introduction of digital tools, it should be paired with organizational culture transformation However, to make full use of MarTech tools, you need to have a "thinking and decision-making" understanding of digital transformation In the process of helping to promote corporate marketing and advertising, Linker Intelligence found that some small, medium and micro enterprises have a weak imagination for digital transformation The cognitive aspect of digital marketing is relatively simple The focus is often on using digital tools to solve urgent needs, but it is ignored that behind digital transformation, it is necessary to coordinate the transformation of corporate employees and organizational culture in order to maximize benefits Lin Yang-bin, who has experience in multinational companies and overseas markets, knows very well that Taiwan's products and services are internationally competitive, but "everything is ready, all it needs is the east wind" Small and medium-sized enterprises lack the tools to fight the international war To become the best marketing partner for small and medium-sized enterprises, we will integrate all the resources of the group and develop cross-border products, and launch a variety of intelligent tools required for cross-border marketing, including cross-border customs data systems, AI intelligent marketing systems, digital public relations SOV volume insights, SEO intelligent insights and AI intelligent SEO article writing allow local companies that want to undergo digital transformation to use appropriate MarTech tools to easily go overseas and enhance the international competitiveness of Taiwan's industries "Lingke Intelligence's vision is to become a cross-border intelligent marketing service provider for brands" This has been Chen Zhenhao's original intention since he started his business In the future, he will remain true to his original intention Chen Zhenhao, Chairman of Lingke Intelligent Marketing Company 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】對話機器人成為智慧醫療小幫手 有效降低7成人力
【2021 Solutions】 Conversational robots become smart medical helpers, effectively reducing the labor force of 70 people

"I've been eating, drinking, and urinating a lot recently I'm worried about whether I have diabetes" "You can go to the hospital to measure blood sugar If fasting blood sugar is higher than 100 mgdL, and postprandial blood sugar is higher than 140 mgdL, glycated hemoglobin 5764, you may have signs of pre-diabetes” The person talking to the patient may not be a real person, but an intelligent conversation robot This is a smart medical robot developed by Asia Pacific Intelligent Machine Company, which specializes in Natural Language Understanding NLU technology Through multiple rounds of dialogue, it can reduce about 70 of the manpower in medical clinics Founded in 2017, Asia Pacific Intelligent Machine Company, founder and CEO Jerry Wu is a well-known expert in the field of AI and one of the few Google Developers Experts in Asia In the early days of its establishment, it used the interactive conversational robot Open Talk platform to enter smart manufacturing, insurance, media and other industrial fields AI applications grow from broad to refined, Asia-Pacific intelligent machines target the health care field to deeply explore the market "AI technology is a very professional field To achieve in-depth development, a huge amount of manpower and resources must be expended" From the beginning of its establishment, it has explored industrial-wide AI applications After four years of exploration, Jerry understands that With limited manpower and resources, it is necessary to focus and deepen in one vertical field in order to create more revenue sources Therefore, in the past two years, Asia-Pacific Intelligent Machines has decided to focus on the fields of smart health and smart care by using the health and medical corpus accumulated on the Open Talk platform Based on Open Talk, it has developed more accurate auxiliary robots required by medical hospitals as goal AMPIC Healthcare’s Key Advantages Asia-Pacific Intelligent Machinery started cooperation with Formosa Biomedical Engineering, and currently has accumulated more than 40 medical institutions, covering biotech medicine, medical cosmetology, rehabilitation, etc Affected by the novel coronavirus pneumonia COVID-19 epidemic, during the level three alert period, people stayed at home and did not even dare to go to the hospital for medical treatment even if they were sick At this time, Asia Pacific Smart Machine's video medical solution is dispatched It is used in non-contact cloud-based physiological measurements to provide doctors with a reference for long-term care and observation, helping to solve the problem of medical institutions using telemedicine for patient care The specific method is that after seeing the doctor, if the patient has questions about related medications, prescriptions, etc, he or she can directly contact the voice robot through the social communication line Patients with chronic diseases do not need to upload blood pressure, blood oxygen, heartbeat and other data They only need to upload an 8-second video of their own face close-up, and the calculation time is 30 seconds to analyze the patient's pulse index, heartbeat, muscle fatigue and other values , if any abnormality is discovered, the patient can also seek medical treatment immediately Using labeling algorithm to mix physiological measurements seeing and conversational technology listening, it can improve intention understanding by 80 Why can physiological data be measured through close-up videos of faces Jerry further explained that it mainly relies on the AI algorithm label judgment in the background of the system, which means observing the flow of blood vessels based on the reflected light on the face in the video, performing identification actions, and judging the values of heartbeat and blood pressure The recognition rate is It can reach 80-90, which is equivalent to the data measured by the blood pressure machine The difference is that uploading data through a blood pressure machine requires purchasing a blood pressure machine and a self-measurement uploading platform Generally, patients with chronic diseases are mostly middle-aged and elderly people who often forget to measure their blood pressure, which affects the continuous collection of physiological data The action of video shooting and uploading can improve patient cooperation in hospitals and also help clinics continue to track the conditions of chronic patients Because with physiological measurement data, combined with dialogue technology, we can understand the customer's care needs and intentions, reaching 90 For example, if the customer has high blood pressure, abnormal lactic acid value, there may be some possible physical problems, if we match the customer For the content of robot interaction, OpenTalk can parse the two data sources to analyze the customer's intention and further feed it back to the doctor or caregiver, who will decide which care actions to take For example in the field of medical beauty, medical beauty clinics care about what kind of beauty care customers want to do Through robot dialogue and interactive behavior on the device, Asia Pacific Intelligence performs labeling actions, including extracting things of concern in the dialogue , show the intention, such as wanting to do hyaluronic acid, small needle beauty, etc, collect voice and audio and video data, and integrate it into personalized tags, you can recommend skin care treatments, business shopping guides, or list tracking cases, etc, becoming a medical beauty The best assistant for the clinic to understand its clients The care platform recruits an AI technology team and will target the Japanese and Thai markets for international export in the future The AI technology of Asia-Pacific Intelligent Machines starts from natural language understanding and performs labeling actions from conversations In addition to natural language processing, it also focuses on machine vision technology Through images, including the recognition of customer age, gender, and facial emotions, it also masters visual tags and dialogue tags to deeply understand customer needs AMPIC Healthcare’s system service architecture Due to the huge number of disciplines in the medical field, Asia-Pacific smart machines have initially targeted the medical beauty and long-term care markets, and have adopted the concept of a care platform to recruit other AI technology teams At this stage, it has included the detection of dementia and sarcopenia It is expected to be included in the future, including blood sugar detection, gastroenterology, ophthalmology, etc, to explore potential markets and find powerful AI technology partners to jointly develop AI detection technology to make the health and medical services covered by the care platform more complete The Open Talk platform supports multiple languages including Chinese, Taiwanese, English, Japanese and Thai, and has more than 130 automatic question and answer skills, which can automatically grasp customer emotions and customer needs In the future, in addition to plans to introduce more than 100 automatic QA skills to medical institutions in 2022, In addition to the 200 companies, it will also target the Japanese and Thai markets, enter overseas markets, and export service solutions internationally Asia Pacific Intelligent Machine Company CEO Wu Bohan third from left in the picture and his team took a group photo after being interviewed by TVBS TV station「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】防堵傳統市場或遊樂園區成為疫情破口 台灣資料科學「訊號雲」天線建奇功
【2021 Solutions】 To prevent the blockage of traditional markets or amusement parks from becoming a breach of the epidemic, Taiwan’s Data Science “Signal Cloud” antenna has made a remarkable contribution

The COVID-19 epidemic is raging, and local governments are actively preventing the spread of the epidemic The Yunlin County Government uses the "People Flow Analysis Antenna" in the "Signal Cloud" to detect device signals, and uses AI algorithm models to estimate Actual flow of people to prevent blocking traditional markets and busy business districts from becoming a breach of the epidemic the Taipei City Government has deployed antennas in Songshan Cultural and Creative Park, Municipal Zoo, Municipal Art Museum, Maokong Cable Car and Taipei Underground Street, and cooperated with Taipei Smart City The project office worked together, and the man behind the establishment of these systems was Taiwan Data Science Corporation Use the "People Flow Analysis Antenna" in "Signal Cloud" to detect market clustering conditions "From the first day the company was founded, I have been thinking about how the technology I learned can contribute to mankind, even a little bit" Dr Zhuo Yingqiang, CEO of Taiwan Data Science Company, gave up the stable national University faculty work, relying on enthusiasm for science and technology and hope for the future innovation era, with the original intention of making the world a better place, and joining the ranks of entrepreneurship This century-old epidemic has changed the daily pattern of the world, and also allowed Zhuo Yingqiang to find the focus and contribution of scientific and technological epidemic prevention People flow information flow analysis antenna to master signal detection big data The "People Flow Information Flow Analysis Antenna" developed by Taiwan Data Science Company was designed with the motivation of smart retail Its equipment principle is to use antennas to detect devices carrying Wi-Fi and Bluetooth signals in the field, such as Mobile phones, tablets, laptops, iWatch, Bluetooth headsets, etc The "People Flow Information Flow Analysis Antenna" can clearly identify data such as people flow, walking lines and habits in the area, analyze the flow of people at each time, and help stores or vending machines grasp people flow statistics, analyze hot areas, and use big data at the same time Coupled with the marketing data reports generated by AI, stores can more accurately control the flow of people, which is of great help in terms of pre-prepared quantities and accurate sales estimates The development areas of Taiwan Data Science Company are locked in smart retail, transportation, security and financial industries, and are developing towards the fields of smart Internet of Things AIoT and information security "Taiwan Information Technology has the patent for signal antennas, but making antennas and collecting data is only one of them Producing valuable data analysis reports is more important This is what buyers care about" Zhuo Yingqiang pointed out that there are major Netcom manufacturers who are optimistic about it Taiwan Information Technology’s technology originally wanted to purchase related patents and invest in this market But in fact, it is not difficult to deploy antennas What is difficult is that after the data is collected, a strong AI team must be behind the cloud to do analysis The major Netcom manufacturer finally proposed a strategic alliance with Taiwan Information Technology The major Netcom manufacturer will produce the hardware device of the signal antenna, which can significantly reduce the cost by about 60 Taiwan Information Technology will be responsible for producing data analysis reports, and the AIoT software and hardware integration of the cooperation between the two parties will be reduced by about 60 The solution is to attack overseas markets together "Signal Cloud" is not only used to calculate people flow, but can also be used in the fields of security and information security "Signal Cloud" is not only used to calculate people flow, but can also span into the fields of security and information security Zhuo Yingqiang pointed out that in the security industry, surveillance systems generally use video cameras If Xiaoxiao avoids the camera, it may not be detected However, if the antenna is deployed in a corner of the house, as long as the signal antenna detects abnormal Wi-Fi or Bluetooth signals, it will immediately send a warning to the security company to take further preventive measures The signal antenna system proactively reports to reduce the risk of bank personal information leakage In the field of information security in the financial industry, cases of bank personal information leakage resulting in deposit theft are common Why do similar cases occur Mainly for fraud groups or unscrupulous elements to use wireless network IDs that are the same as those of banks to provide free Internet services in or near the bank lobby, so that customers can undoubtedly connect to them and conduct online transactions At this time, criminal groups collect customer account numbers, etc Personal data, a major information security incident that caused a large amount of customer information to be leaked In Taiwan Information Technology's solution, as long as a signal antenna is installed in the bank's business hall, if the antenna receives an abnormal account or device, it will proactively notify the bank's monitoring center, immediately take action to block the firewall, and blacklist the signal , we can prevent the occurrence of data leakage Taiwan Information Technology participated in the "President Cup Hackathon Competition" and advanced to the top 20 national finals President Tsai Ing-wen in the picture specially communicated with the team In fact, this signal antenna, which Dr Zhuo calls an "information flow antenna", can not only be placed in financial holding and bank business premises, but can also be deployed in military sites such as camps and national defense units as access control, Information security and security functions After the COVID-19 epidemic, during the level 3 alert period, because she did not want her employees to be involved in the risk of contracting the epidemic, Zhuo Yingqiang could not bear to send her colleagues to carry out construction work even if the hospital had a demand for abortion monitoring However, the sharp drop in revenue also made Zhuo Ying Gun realized that the market cannot be limited to Taiwan, so he actively looked for strategic partners to export the "Signal Cloud Antenna" solution overseas Taiwan Information Technology's overseas development strategy is to follow the footsteps of Taiwan's major Netcom manufacturers After the service is implemented, it will be handed over to SI operators in local countries to perform installation and subsequent after-sales maintenance work As mobile devices become smaller and lighter, Taiwan Information Technology predicts that within three years, the signal antenna will be "chip-based" It can not only be directly embedded in POS machines, but can also be placed in consumer electronic equipment and shipped together These are the future development directions Taiwan Data Science Company has been established for almost four years this year In the past, it has been engaged in the field of data processing, from cashless big data for mobile payments to wireless signal big data for people flow analysis As an AI start-up company, the number of colleagues is slowly approaching the 200-person mark, which is rare in Taiwan's start-up world Taiwan Information Technology's motto is "From SI to AI, from physical to wireless" Taiwan Information Technology's antenna people flow detection technology leads the market for about 12-18 months, but Dr Zhuo believes that we must continue to expand our lead Advantages must be achieved through patent layout and world-class channels As a former university professor, he is leading the company's team to patent "judging different field characteristics through various signals" and using his past expertise in the field of cashless payments to write some cross-field compound patents to "cashless payment" " and "wireless" are integrated together to create thresholds that are more difficult for newcomers to catch up with The Ministry of Economic Affairs assisted Taiwan Information Technology Co, Ltd to shoot a promotional video for the "Signal Cloud Antenna" free of charge, and provided free guidance on entering the Japanese and American markets All colleagues at Taiwan Information Technology Technology Co, Ltd are very grateful for this matter The Taiwan Information Technology Department has recently been obliged to work hard to contribute to the country's scientific and technological epidemic prevention It is currently handling the access control system project of the Ministry of National Defense, the technology monitoring project of the Ministry of Justice, and the relief data processing project of the Ministry of Health and Welfare For Zhuo Yingqiang, these things are able to use business wisdom and technology to make a small contribution to the small imperfections of human life, and this is also his greatest achievement and motivation since starting his business Dr Zhuo Yingqiang of Taiwan Science and Technology Corporation, as the Secretary-General of the Asia Internet of Things Alliance, participated in the press conference of the Asia Silicon Valley Internet Industry Alliance of the National Development Council 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】深耕文字探勘與人工智慧 藍星球資訊一鍵描繪龐大商業網絡
【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 "COUT" 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 1491,420, accounting for 9765 of all enterprises, an increase of 172 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 COUT" 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 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 RD 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 COUT" 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 "COUT" 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 AMLCFT requirements have certain standards Whether it is financing or lending, banks need to conduct detailed checks on their customers through systems like "Report" 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 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」

【解決方案】獨家創新AI演算法微型化專利 滿拓科技協助讓雲端大型AI落地普及
【2021 Solutions】 Exclusive Innovative AI Algorithm Miniaturization Patent: Mantuo Technology Assists in Bringing Large-Scale AI to the Cloud

With the Internet of Things, the demand for AI algorithms is becoming increasingly massive and complex The use of Edge AI, which can effectively reduce costs, enhance security, and improve execution efficiency, will become an inevitable trend Founded in 2018, Mantuo Technology's DeepMentor mainly provides miniaturized AI algorithm SaaS services It is a real solution provider on the market that can deploy AI algorithms running on cloud servers or GPU processors to the Edge Device level, maintaining an accuracy of over 99 while significantly reducing data movement and algorithm complexity Its exclusive and innovative Miniaturized Electronic Design Automation process MAT can shorten time, reduce costs, and still achieve an accuracy higher than 99, key for deploying cloud AI to Edge Devices Ten years of dedication, Mantuo Technology's miniaturization technology gains market attention After more than ten years of research and development in the laboratory, the founder of Mantuo Technology, Wu Xinyi, and his team's exclusive patent of the miniaturized electronic design automation process has resulted in over 20 international A-level papers and several awards including the Best Paper Award Mantuo Technology's technology has been recognized by the market, and in the past two years, it has won the 'Most Investment Worthy Award' at the 8th Yungu Cloud Leopard Incubation Demo Day and the 'Strongest System Innovation Award' with Chunghwa Telecom, as well as the '2021 G Camp International Link Award' and the 'YEZ International Accelerator Special Award' at the 5th 'International Innovation and Entrepreneurship Training Camp G Camp' organized by the Ministry of Economic Affairs in August 2021 滿拓科技獲得第八屆雲谷雲豹育成總決賽「最具投資價值獎」。圖左二為滿拓科技創辦人吳昕益。 AI algorithms are quite large mathematical models Mantuo Technology is focusing on future trends from the era of the Internet of Things IOT to the intelligent Internet of Things AIOT All kinds of terminal products will integrate AI to provide more powerful functions However, many AI algorithms are relatively complex and large, which cannot be integrated into existing terminal devices Therefore, Mantuo Technology developed an exclusive miniaturization technology MAT to optimize the algorithms, simplifying the complex algorithms so they can be incorporated into small embedded systems for easier interfacing with hardware equipment Indeed, what challenges do companies currently face when deploying Edge AI Mantuo Technology's Marketing Director, Yang Yuming, explains that in terms of hardware computation, the cost of GPUs is high, and due to power consumption and heat generation, they are not suitable for edge computing devices In terms of software, there is a lack of good solutions on the market, and most applications can only deploy lightweight simple AI models tiny AI, which are easily affected by climate or external environmental changes, significantly impacting accuracy Importantly, including major international manufacturers in their 2021 white papers, it is mentioned that accuracy can be immediately reduced by 5-15 during the compression process Mantuo Technology offers a complete Edge AI computing solution, with its exclusive and powerful miniaturization technology, which can reduce computational and data volume by 90 while keeping accuracy within 1, successfully deploying multiple complex professional million-parameter AI algorithms to edge devices Mantuo Technology's main customers target system manufacturers and software and hardware developers who want to upgrade IoT to AIoT Mantuo provides the DeepLogMarker software platform to help system vendors and developers quickly obtain miniaturized AI algorithms Through simple training and deployment, they can easily convert commercial IoT devices into AIoT products Yang Yuming stated that the company will launch the SaaS software platform service DeepLogMarker in the fourth quarter of 2021 The first phase will offer the nine most commonly used professional miniaturized AI algorithms, such as object recognition, posture detection, facial recognition, and age and gender algorithms, allowing customers to choose as needed Different AI functions can also be combined according to different usage requirements The platform adopts a subscription model, providing all AI developers, like engineers, startup teams, and device manufacturers, to download and use these algorithms SaaS platform services - simple subscription to use AI algorithms Specifically, customers only need to select the required algorithms on DeepLogMarker, and with a few steps, they can deploy the algorithms to the Edge AI hardware platform Customers do not need to spend a substantial amount of资金capital and time to build an AI environment, and even beginners in AI can directly access all kinds of AI applications needed on the DeepLogMarker platform Mantuo Technology provides professional AI models that have been miniaturized, allowing startup entrepreneurs and developers to subscribe to miniaturized AI algorithms and purchase the Edge AI box to interface with their IoT systems, thereby upgrading the IoT systems to AIoT systems Mantuo Technology is committed to becoming a SaaS software company in the Edge AI field By the end of 2021, it will provide a variety of Edge AI solutions and algorithms on the online platform, hoping to build a complete DeepLogMaker Edge AI user ecosystem Enterprises and cloud service providing platforms like Amazon AWS, Microsoft Azure, IC design companies, startups, and IoT device manufacturers can use the AI services from Mantuo Technology on the platform, to inspire various innovative applications, enhance AI value, and create business opportunities together 滿拓科技建構DeepLogMaker Edge AI使用者生態圈 At the same time, strategic partners with international SaaS operations experience are also welcome to join hands with Mantuo Technology Besides deepening the Taiwanese market, Mantuo Technology's services will also expand into East Asia and international markets such as the United States and Europe The ultimate aim is to significantly reduce the deployment cost of Edge AI, help in the widespread application of AI at a grassroots level, and broaden the applications of Edge AI in intelligent retail, smart manufacturing, smart home appliances, smart medical, and more Mantuo Technology believes that now is the best time for Taiwanese manufacturers to enter the Edge AI market Currently, major chip manufacturers such as NVIDIA, Intel, Qualcomm, NXP, and cloud leaders AWS, Google, Microsoft are all actively investing in this field If Taiwanese manufacturers want to break into the Edge AI market, considering the strengths of Taiwan's small and medium-sized enterprises, industrial manufacturing advantages, and government resources, unique value in software and hardware integration and technology is still the best leverage Finding the right entry point, Mantuo Technology hopes to become the key hub that connects international software giants' resources with Taiwan's hardware advantages Mantuo Technology's miniaturized algorithms enable Edge devices to perform more robust AI functions With the advent of the 5G era, the various AI intelligent application scenarios that everyone is looking forward to can truly materialize The current IoT products need to be fully upgraded 'Solving problems through system integration is solving problems from the root' Mantuo Technology's software and hardware integration solutions, including various AI silicon IP licensing and SaaS services, are expected to officially hit the market from the end of 2021 to early 2022, at which time the development of AI applications in Taiwan may show a different aspect Founder of Mantuo Technology, Wu Xinyi「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】搶當MarTech生態圈第一品牌 愛酷智能科技揪團打群架
【2021 Solutions】 Become the No. 1 brand in the MarTech ecosystem. Aiku Intelligent Technology joins forces to fight against each other.

The COVID-19 epidemic is raging Faced with the new digital normal that consumers are gradually becoming accustomed to, major digital technology applications and online integration and offline services have risen against the trend, which has also made efforts to build "MarTech" Marketing Technology Ecosystem's AiKu Intelligent Technology's performance has grown exponentially Wu Jianyu, Chief Strategy Officer of iKu Intelligent Technology, said that the company is committed to becoming the first brand in MarTech, and at the same time, marketing technology is also an emerging field that domestic and foreign investors are optimistic about AiKu Intelligent Technology has received a total investment of NT135 million so far We will continue to promote connectivity with investors and plan to enter overseas markets In fact, since its establishment in April 2018, Aikoo Intelligent Technology has been a rapidly growing technology start-up The number of employees has expanded from 17 to 85, and its revenue has doubled every year AiKu Intelligent Technology, which bills itself as a "marketing technology integrator," has been fighting a different battle than other startups from the first day of its establishment The era of working alone has passed Aiku Intelligent Technology must build a bridge between "marketing" and "technology", build a "MarTech" ecosystem, expand the technology marketing market through group fights, and establish coexistence and coexistence with alliance partners Rong relationship Serving as a bridge between marketing and technology to expand the MarTech ecosystem Wu Jianyu, Chief Strategy Officer of iKu Intelligent Technology, said that MarTech, as the name suggests, is the use of technology to solve marketing problems The epidemic has accelerated the pressure of digital transformation on enterprises, and the application of technology in marketing requires a large investment of resources At the same time, unknown psychological barriers and internal integration challenges must be overcome For brand owners, advertising agencies, media agencies and integrated marketing Consulting companies often face the dilemma of not knowing how to choose a business, because marketing methods that have entered the technological era, such as image recognition, IoT, detection systems, NLP, data analysis, etc, have extremely high technical content At the same time, brand owners often require one-stop all-round marketing services, including professional assistance from planning, system introduction, marketing application and effectiveness review Only integration can create maximum benefits Even if there are multiple systems or manufacturers cooperating in the process, through the integration service of iKu Intelligent Technology and the API system, it can be efficiently integrated and provide one-stop services for the brand Wu Jianyu, Chief Strategy Officer of Aikoo Intelligent Technology, said that the company is committed to becoming the first brand in MarTech On the other hand, iKu Intelligent Technology also plays a role as a bridge between marketing and technology The MarTech ecosystem includes service vendors, traditional integrated marketing partners and AI startups, etc, and has multiple functions of technology sharing, service sharing and joint services The MarTech ecosystem business model is a concept of "single integration and professional division of labor" It is coordinated by alliance partners with technology integration or brand integration capabilities, and other partners cooperate The overall structure requires the introduction of MarTech systems and consulting services Only with the input of program developers can the integration be carried out smoothly Ecosystem partners each have specialized strengths and can jointly develop new products and services For example, iKu Intelligent Technology cooperates with the well-known advertising technology provider OneAD to launch innovative conversational advertising that combines advertising playback with interactive advertising Dialogue helps brands deeply understand consumer needs and preferences Or it can cooperate with PicSee, Asia's largest URL shortening service provider, to integrate the service into the customer data platform to help companies interpret more consumer browsing behaviors AiKu Intelligent Customer cross-channel customer data platform helps data connection Conversational business applications strengthen data analysis and diversified focus applications There are two keys to the success of the development of the MarTech ecosystem First, there are people to coordinate and integrate service content Manufacturers in the ecosystem have their own solutions Coordinators can find partners in the alliance who can cooperate in providing services Another key factor is resource sharing After three years of efforts, the MarTech ecosystem has attracted more than 50 partners to join Business-driven alliance cooperation will continue to grow the business and exert market influence In order to lay out the data application market, in early 2021, iKu Intelligent Technology and TNL Media Group jointly established a new AI and data application company - DaEX Intelligent Technology This cooperation project is an important strategic value point for both parties Key Comment Network is thinking about how to more effectively apply and monetize the data of numerous readers Combining the strengths of iKu Intelligent Technology’s customer data platform and omni-channel marketing technology, it will be able to Brands provide innovative media and data integration applications DaEX will develop data analysis and data monetization, and is also expected to establish a media-specific data platform and media trading market in the future Talking about the hardships along the way since starting a business, Wu Jianyu observed that the marketing technology circle is a "Matthew Effect", where the strong will always be strong Many companies hope to play the role of building a platform In the first year of its establishment, Aiku Intelligent Technology The energy of resources and influence has just begun, and products are still under continuous research and development With the expansion step by step, after the establishment of the MarTech ecosystem in 2020, the scale has become larger and larger, and brand owners are willing to invest their media advertising budgets in Marketing technology, or the application of omni-channel retail, has also driven the revenue growth of iKu Intelligent Technology and the MarTech ecosystem At this stage, continuing to maintain rapid growth and exerting market influence is the biggest challenge for Aikoo Intelligent Technology It is an important goal to use a "business-driven" perspective to drive alliance members to cooperate independently in order to win more orders and continue to grow their voice The business model of iKu Intelligent Technology has been highly favored by investors In the past three years, in addition to the participation of Xin'an Tokyo Property Insurance Company and Jiaotong University Angel Investment Club in 2019, at the end of 2020, it also received investment from the National Development Fund and Japanese advertising listed company Adway Supported by Adways Group, it has received a total of 135 million yuan in funding The epidemic has catalyzed the digital transformation of all walks of life As a MarTech promoter, iKu Intelligent Technology continues to actively expand its layout and help companies seize opportunities in the fierce competition 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】無人機專家佐翼科技 運用優勢成為防疫尖兵
【2021 Solutions】 Drone expert Droxo Tech uses its Strengths to Become a Pioneer in Epidemic Prevention

In May 2021, at the Tai'an Elementary School campus in Taichung City, two drones quickly took off and sprayed disinfectant in the campus of Taian Elementary School in Taichung City, completing emergency disinfection of the entire campus in a single day The company using drone technology for epidemic prevention is none other than the Tainan-based Droxo Tech, which has been silently carrying out this technology-based epidemic prevention work for more than six months In fact, Droxo Tech was established in 2018 Members of the team are aerospace technology engineering experts Cheng-Han Hsieh, president of Droxo Tech, who was also a member of the Taiwan team in the 20th APICTA AWARS, said that Droxo Tech mainly develops drone technologies and applications, and is committed to using drones as vehicles to break through the existing technical framework In agriculture and industrial inspection, the company uses highly efficient customized drones to break through existing work patterns and solve problems, such as labor shortage and work hazards in industries Droxo Tech uses drones to carry out disinfection work on the campus of Taian Elementary School in Taichung City The global commercial drone market is expected to grow to US87 billion in 2025 According to statistics of Fuji Chimera Research Institute, as the unit price of drones decreases, drones will gradually become more popular, extending from their initial aerial photography function for general consumers to commercial products for agriculture, measurement, and logistics In terms of drone market size, global drone shipments was 39 million units in 2019, and are estimated to reach 418 million units in 2020 A report published by Global Information, Inc GII also pointed out that commercial drone services, such as photography, entertainment, surveying and aerial operations, disaster survey and relief, early warning systems, data collection and analysis, and environmental monitoring, have considerable profit opportunities, which are predicted to grow to US87 billion per year in 2025 Droxo Tech targets agricultural drones and industrial surveying in the commercial drone market Agricultural drones replace manual pesticide spraying and fertilization, and only needs six minutes to spray approximately 4,850 m2 of land, reducing pesticide use by 50 while achieving a control effect reaching 95 In addition, drones use AI spectrum NDVI image recognition technology to identify the growth status of crops, such as rice paddies, and establish an agricultural information system Industrial inspection drones are for offshore wind turbines, bridges, etc, recording 360-degree images without blind spots for big data analysis in the cloud Agricultural drones are responsible for spraying pesticides and collecting agricultural information, making them a good helper for farmers Cheng-Han Hsieh said that based on the global market observations, using agricultural drones to spray pesticides is a basic need, but the back-end agricultural information analysis is the indicator that is truly important If a data platform can be established, it will greatly benefit agricultural development and pest control In addition, the use of agricultural images combined with multispectral images and analysis of rice paddy soil and fertilizer content has produced concrete results in rice growth monitoring Based on empirical results of rice paddies in Meinong, Kaohsiung, the amount of pesticides sprayed by traditional farmers was double the standard Data analysis let farmers understand that they do not need to spray too much pesticide and it will not affect the quality and harvest The specific method is to record plant growth indicators and import them into the back-end system in coordination with the analysis Whether plants have pests or diseases is determined through back-end big data processing and analysis, monitoring of plant growth, and analysis of infrared images, and different amounts of pesticide are sprayed based on the data "In the past, farmers relied on the weather for their livelihood, but now they let the data speak for itself" Cheng-Han Hsieh believes that helping farmers accurately monitor the growth of crops and make correct decisions is the most important contribution of drones in collecting agricultural information for analysis Targeting agricultural plant protection machines and industrial inspection, Zoyi Technology integrates software and hardware to enter the international market In terms of industrial surveying, traditional industrial inspection has three disadvantages 1 Manual operations is dangerous2 The manual inspection takes too long3 Lack of third-party verification tools Drones overcome the three major disadvantages above Droxo Tech uses drones for bridge and wind turbine inspection First of all, in terms of bridges, traditional inspection requires hanging and inspection time is too long, manual operations are dangerous due to the strong winds Drones can take off at any time for inspection, and 3D models can be created using 3D image recognition, so that rust and cracks have nowhere to hide Drone operation screen The inspection of offshore wind turbines also faces risks such as climbing and hanging of manual operations and strong winds Using drones to replace engineers for inspection work is safe, effective, and convenient Droxo Tech focuses on drone technology Cheng-Han Hsieh said that the short-term goal is still to focus on agricultural drones, supplemented by collecting agricultural information for big data analysis, in order to provide more complete agricultural information to agricultural units as the basis for agricultural reformThe mid-term goal is to continue to improve the flight control system, strengthen the application of the control system in the field, such as automatic landing, automatic tracking, and activate mission schedulingThe long-term goal is to become an automation company specializing in the design of automated vehicles or automated monitoring equipment For example, drones used to spray pesticides are currently used in large outdoor areas, but greenhouses also have great demand Greenhouses with a planting area of 4,850nbspm2 also need to spray pesticides and harvest Since greenhouses are indoors, there is more interference with the drone navigation system After the control system is strengthened, automated guided vehicles AGV or automated design will be introduced indoors or in greenhouses, and the vehicle will be changed from drones to AGVs to solve the troubles of farmers Since Taiwan's agricultural drone market has a limited appetite, about 200 units per year, Droxo Tech also plans to develop overseas markets, initially selecting Southeast Asia and South America Palm trees in Malaysia are crops with high economic value, a large planting area, and have greater opportunity to use agricultural drones nbspAt the same time, in order to help improve the planting environment, Droxo Tech will also establish an agricultural information recording platform and export equipment and systems integrating software and hardware to overseas markets Zoyi Technology's general manager Cheng-Han Hsieh is a drone expert

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