Lian Wei-Cheng, the founder and CEO of Hyson Technology, was once an IC design engineer in the semiconductor industry, working in front of a computer all day long in Hsinchu Science Park Although he was busy, he still had a sense of uncertainty and felt anxious about his life goals He couldnrsquot help but think about whether the technological capabilities he learned can directly connect with people and the land, solve various social issues, improve human life, and further change the world He took the plunge and left the semiconductor industry, a job that everyone envied, and founded Hyson Technology He stayed at the fish farms in Qigu, Tainan, his hometown for a long time, and built relationships with the fishermen He was eventually able to talk about "fishing knowledge" and gained the trust of the fishermen The "Aquaculture Monitoring and Rearing System" was developed by Hyson Technology by combining artificial intelligence AI, Internet of Things IoT, and mechanism design The system uses a method friendly to fish, shrimp, and the environment to reduce risk and increase yield, achieving sustainable farming production nbspSchematic diagram of the AIoT aquaculture rearing management system of Hyson Technology Lian Wei-Cheng, who was wearing a sun hat and walking among the fish ponds under the scorching sun, was asked Why did you make the change from the tech worker to an entrepreneur who helps fishermen farm fish He answered shyly with a smile The chairman of a certain semiconductor company also asked him the same question "I want to have more contact with people, directly understand people's needs, and find places where technology is needed to improve people's lives," he said, so he resolutely left his envied job in the semiconductor industry and became "half tech worker, half fisherman" The annual output value of Taiwanese fishermen is relatively low, but there is great potential to increase output value through technology Why did you choose aquaculture for entrepreneurship Citing a report in "CommonWealth Magazine", he pointed out that to show the value of an industry, we can observe whether the industry has prospects based on the per capita annual output value of employees For example, Qualcomm has a per capita annual output value of NT23 million, and Microsoft is NT23 million The per capita annual output value of Norwegian fishermen reaches approximately NT24 million, which is three times the per capital annual output value of Taiwan's electronics industry NT8 million The current average of Taiwan's aquaculture industry is only about NT400,000 There is considerable room for growth from NT400,000 to NT24 million Thinking about it from another perspective, Taiwanrsquos electronic hardware and IoT equipment technology lead the world If these technologies can be combined to give smart aquaculture full play, the average annual output value of fishermen is expected to increase significantly The expertise of Hyson Technologyrsquos team is AI image processing technology and data analysis technology They use these technologies to solve the risks and labor problems caused by not being able to see fish and shrimp underwater The team sets out from being able to see, to measure, and to control, and allows fishermen to quickly monitor the growth status of fish and shrimp using their mobile phones It can also be combined with automated equipment to reduce labor and risks When Lian Wei-Cheng was a student in the Department of Electrical Engineering, National Cheng Kung University, he loved raising ornamental fish and watching birds, often going to Qigu to watch birds He observed the environment and found that more and more fish farms in Qigu were being abandoned This was mainly due to two major factors, one is that it is difficult for young people to enter the industry without experience The other is that the older generation did not keep records and it is difficult to pass on experience This has resulted in an aging population in Taiwanrsquos fishing villages and prevented an increase in output volume The most effective way to solve the problems above is to introduce an automated system to assist with fish farming Hyson Technology's fish farming system uses self-designed IoT underwater cameras to monitor fish in the farms It also uses Edge-AI image defogging technology to make the images of fish in ponds clearer, allowing fishermen to use their mobile phones to see fish activities and feeding, and determine if the fish are sick The images are synchronized to the cloud, and Cloud-AI automatically identifies, samples, and measures biological information, such as the length and weight of each fish, automatically recording and compiling statistics of the growth status of the fish The information is visualized in reports and images It can also analyze the feed conversion ratio in different farming stages The AI expert system can also predict harvest dates based on growth data, control sales and shipment schedules, and ensure stable and sufficient supply The fish farming system is like a ruler, taking into account every detail of fish farming The fish farming system creates an objective ruler for the fish farming industry Using this ruler, fishermen can measure and compare the effects of different farming methods, see parts that they have not paid attention to before, and create more usages and value In the past, the traditional approach of manually catching fish samples was labor-intensive and time-consuming It usually took two people an hour to sample only 30-40 fish, and often caused accidental fish casualties Field verification results show that Hyson Technologyrsquos fish farming system can automatically sample and measure the biological information of 300 fish in 5 minutes without disturbing the activities of the fish It is extremely efficient and can ensure zero damage to the fish Fish farmers use the systemrsquos AI growth statistics as the basis for decision-making in determining the size of fish entering the pond and shipping It replaces the original traditional method of manually catching and measuring 30 fish, which can save about 75 of manual work time In the fish farming industry with extremely scarce manpower, the benefits of saving manpower are very significant Hyson Technology is gradually expanding the AI technology it developed to other fields For example, Hyson Technology participated in the AI New Talent Selection of the Ministry of Economic Affairs Industrial Development Bureaursquos AI Program, in which ldquomajor companies provide problems and startups provide solutionsrdquo The company combined its proprietary fully automatic AI underwater image defogging algorithm with an AI model, and applied it to the solution of an optoelectronics company for removing rainbow film from LED panels The company thus won the biggest award for meeting all technical thresholds Lian Wei-Cheng pointed out that the defogging technology can automatically estimate the degree of color distortion in water and automatically adjust the contrast of each area to improve image quality Compared with AI models that consider underwater physics and methods based on adversarial network model, the method proposed by Hyson Technology provides clearer image details, and also received better scores in multiple objective image quality evaluation standards, such as NIQE and PSNR Underwater image defogging algorithm favored by major companies due to its superiority This defogging technology combined with AI technology can effectively improve the accuracy of fish recognition For groupers with colors similar to the background and difficult to distinguish, the accuracy can be significantly increased by more than 3 For batfish with clear features and high recognition accuracy already reaching 98 and above, the accuracy can be further increased by nearly 1 Using this technology to make the images of farmed fish clearer, it can be used as the basis for determining fish diseases If the technology for underwater defogging is built into the AI model recognition layer, it can also be used to solve the problem of rainbow patterns appearing when taking photos of screens, which prevents panel defects from being detected This will effectively solve the problem of AUO with rainbow pattern interference during panel inspection What are the challenges of Hyson Technology in business promotion Lian Wei-Cheng believes that the biggest difficulty is how to expand into a new industry Hyson Technology often faces customers from traditional industries When recommending or cooperating with traditional industry customers on a new technology product, the key is gaining the trust of customers and achieving the goal of customers are partners Frequent visits are needed to gradually build trust and understand customer needs Only then will the company have the opportunity to further assist customers in solving their pain points Hyson Technology's excellent image recognition and AI technologies have gradually gained recognition from customers It has built relationships with major companies in verification, and it will continue to gain a foothold in the market in the short term with its own image processing products, such as the fish farming system In the medium term, it hopes to expand the scope of products and business services, and provide one-stop production and marketing services from underwater to on land, and from the production end to the consumer end In the long term, Hyson Technology will duplicate its successful experiences in Taiwan and integrate resources of partners to expand into the international market Lian Wei-Cheng, founder and CEO of Hyson Technology, working in a fish farm Lian Wei-Cheng and Chiu Yu-Shao join the ranks of smart aquaculture with their technological expertise

Can you imagine A premature baby weighing only 680 grams is fighting for her life The baby is fast asleep in the incubator connected to all kinds of tubes because she is less than a month old What an unbearable sight It pained Shu-Chen Yang, chairman of Huijia Health Life Technology, to see this scene, and it inspired her to develop a smart fiber optic pad for cribs, which can monitor physiological data around the clock The little baby successfully survived and assisted in tests as she grew up, making the dream come true Now she has grown into a little girl in the fifth grade of an elementary school After 10 years, this technology has advanced to 2mm thin pads, and has been applied to elderly care, COVID-19 technology-based epidemic prevention, and innovative high-end medical devices The goal is to promote this new innovative technology to help more people who need it This is the touching story of why Shu-Chen Yang started the company This magical pad is the nFOPTregnon-invasive fiber optic physiological monitoring pad developed by Huijia Health If is combined nbspwith a smart care system, it can continuously track potential changes in the patient, such as respiration, heart rate, blood pressure, sleep analysis, and activity The sensor pad can be placed under the pillow or bed sheets If the patient has any abnormal conditions, a warning will be automatically issued within 30 seconds Huijia Health develops a non-invasive physiological monitoring system with love as its starting point This product has also become the pride of Taiwan Shu-Chen Yang was invited to serve as Taiwan's representative to participate in the 2021 APEC BEST Award and won the "Fourth Industrial Revolution" award "Huijia Health's products are listed among major innovations in the 2021 Global COVID-19 Innovation Survey report, along with Moderna, Johnson amp Johnson in the United States, and AZ in the United Kingdom, gaining global recognition for innovation in epidemic prevention" said Shu-Chen Yang with her joy visible on her face The innovative solution nFOPTreg was also included in the United Nations-related Global COVID-19 Innovation Survey Report, and was listed as one of the 120 major innovations among over 1,300 items, showing that nFOPTreg is highly recognized as a solution that has the opportunity to be quickly provided for the world to jointly combat COVID-19 In fact, Huijia Health has long been a winner of international awards The smart care pad has won the RampD 100 Awards, APICTA Awards, ECI Grand Awards, National Innovation Award, National Healthcare Quality Award, and Excellent Epidemic Prevention Institution Over the past decade, more than 300 obstetrics and gynecology clinics, postnatal care center, infant care centers, nursing homes, dementia homes, centers for intellectual disability, and hospitals have adopted nFOPTreg smart care pads and system to assist with care The non-invasive fiber optic physiological monitoring pad, coupled with a smart care system, can easily achieve long-term and continuous physiological monitoring "Safety and no need to wear devices are my principles for developing health monitoring products" Shu-Chen Yang's original intention was to solve two pain points in baby care One is that no device can be worn, and the other is that there cannot be any electromagnetic waves Due to its high acceptance in the infant and toddler market, it has gradually expanded to areas where it can be used by the elderly, such as long-term care centers and nursing institutions Shu-Chen Yang further explained that babies and the elderly are fragile individuals, and safety from electromagnetic waves is the top priority The elderly are very resistant to any wearable devices The smart care pad does not need to be worn and is placed on the pillow or under the sheets to easily achieve long-term, continuous physiological monitoring The smart fiber optic pad is developed using the principle of total reflection of optical fiber The pad captures the changes in and out of the optical fiber and distinguishes environmental values and non-environmental values Therefore, it has low noise and the data obtained is simple and clean By introducing AI tools such as machine learning and big data analysis to analyze and determine parameters connected to the body, it is expected to provide positive care benefits, including early warning of heart disease and patient care after recovering from COVID-19 Non-invasive fiber optic physiological monitoring pad can monitor sleep Demand for epidemic prevention technology products increases as smart fiber optic pads play its role Shu-Chen Yang said that the smart fiber optic pad AI smart care system reduced the probability of contact between front-line health workers and at-risk patients during the COVID-19 pandemic It not only saves medical resources, but also greatly reduces the pressure of care on caregivers Shu-Chen Yang said that the company is still targeting the two major home care markets, including infant care and long-term care, in the current stage At this stage, smart fiber optic pads are still sold as general consumer electronics products and are classified as auxiliary care products However, in order to benefit more patients, Shu-Chen Yang pointed out that they have applied for medical device certification for the product, and expect to obtain the certificate as soon as next year, at which time it will have even greater potential for development Huijia Health has changed the traditional care service process and monitors physiological data in a contactless way Although it started early, it does not mean that there are no competitors trying to catch up However, Shu-Chen Yang confidently pointed out, "Prototypes and samples will take two years, and it will take another five years for product stability to reach a certain level Only after the product is stable can it be used for higher-end applications" In addition, data collection is not easy AI applications will generate greater value after accumulating data, making it difficult for latecomers to catch up Therefore, the technical threshold established by Huijia Health is not low, but she opened its doors and adopted an open attitude, welcoming businesses from all fields to work together and create a win-win situation At this stage, the company has entered the car driving behavior monitoring market, which can detect the driver's physical, mental and fatigue status It only takes three months to produce samples by cooperating with Huijia Health, and will allow quick commercialization In the future, the electric vehicle market can also introduce sensors to achieve safety and accuracynbsp Smart fiber optic pads can also enter the automotive market to monitor the physical, mental and fatigue status of drivers Recently, the metaverse has gained momentum, and Shu-Chen Yang believes it is a big business opportunity She said that the metaverse requires a large number of sensors for long-distance and short-distance interactions As long as the application scenarios are outlined, the applications of smart fiber pads will be unlimited For example, patients walking in the hospital using railings for support has not had good rehab effects On the one hand, it is impossible to know whether they have improved On the other hand, the rehab effects will be poor if there is no one to accompany and encourage them With the use of sensors, patients will be able to record their rehab situation at any time, and also virtually interact with family far away, as if family members were accompanying them during rehab, doubling the effect Looking towards the future, Huijia Health will extend its application to more fields, and will adopt a licensing approach to assist strategic partners in completing commercialization In the current stage, the products have been promoted to overseas markets such as Japan, South Korea, Malaysia, Vietnam, Philippines, and Spain

Ruiyang Information, which has been established for 34 years, has occupied an important position in the fields of official document systems, knowledge management systems, and enterprise e-ization Facing the advent of the era of AI and mobility, Ruiyang Information boldly embraces AI and " "People-oriented", we will equip existing services with the wings of AI, develop interactive dialogue service platform iota Cai and enterprise instant messaging iota IM, help integrate various internal systems of the enterprise, including official documents, procurement, customer service, etc, and greatly improve the efficiency of internal employees of the enterprise Work efficiency Ruiyang Information has accelerated its investment in the field of artificial intelligence since 2013, and has demonstrated its RD technology capabilities in various fields such as natural language processing, machine learning, deep learning, and natural language understanding At this stage, achievements such as technical word extraction, automatic classification, recommendation systems, topic clustering, technical document transposition, text-based text search, picture-based picture search, and intelligent robots Chatbot have been developed Ruiyang Information deeply cultivates AI technology and automatically breaks down official documents with an accuracy of more than 90 "AI is mainly used in text and images" Wu Zhenming, deputy general manager of Ruiyang Information, further explained that the official document system and knowledge management system that Ruiyang Information is good at are prioritized for introduction and optimization Among them, the Taipei City Government complained in 1999 The number of cases to be handled every day is very large The process must be recorded, automatically divided into documents, and assigned to relevant processing units Through machine learning, the accuracy rate of automatic document classification has reached more than 90 Taipei City The automatic classification of government cases in 1999 can also achieve an accuracy of more than 85 He emphasized that Ruiyang Information will hone its AI technical capabilities from the beginning of the project so that it can add value to existing services In addition, the image part, such as trademarks, financial reports, orders, faxed forms, etc, are originally paper files If you have to convert each key into a text file, it will be time-consuming and time-consuming This is also a pain point in the financial industry, small and medium-sized enterprises and other industries Rui Through OCR text recognition processing and combined with RPA robotic process automation for image recognition, Yang Information can directly convert images into text and automatically store them into electronic files, which can speed up the processing speed of enterprises and help achieve Digitalization before transformation Ruiyang Information continues to deepen the use of AI technology to launch new automated and mobile services, such as launching the conversation service platform iota Cai and enterprise instant messaging iota IM, and entering the chat robot and enterprise IM instant messaging market iota Cai dialogue service platform provides more efficient IT services than mobile services Wu Zhenming said that iota Cai is a truly "enterprise-level" conversational service management platform that can quickly lead enterprises into the new technology application field of "conversational" services He explained that iota is a robot generator To conduct intelligent interactive QA, you need to design a dialogue script The robot designed with iota's assistance can be published to instant messaging software such as Line and Teams There are two types of users who use the conversation robot platform, one is for internal use of the enterprise the other is for external use of the enterprise Integrate independent systems within the enterprise to establish a people-oriented and friendly working environment Among them, for internal use within the enterprise, such as manufacturing internal systems can be integrated with ERP and MES systems through the iota platform For example, the internal business of the enterprise can simultaneously query ERP orders and MES product production status through a single interface Customer contact information on the CRM system only needs to be issued through the iota robot In addition, the company has internal systems such as official documents, procurement, leave, etc, all of which are independent, causing inconvenience to users Through the design of a conversational robot service platform, different system backends can be integrated at the same time to provide a "people-oriented" friendly working environment External use is intelligent customer service, including the financial industry, public sector, etc, which require a lot of customer service In the past, they used phone calls or emails Now, intelligent customer service robots can be used to directly reply or solve customer questions, greatly simplifying customer service manpower, and improve customer satisfaction The dialogue service platform iota Cai allows users to design dialogue interactive scripts, QA QA and natural language intent training through the GUI interface without writing programs IT staff can quickly integrate enterprise back-end systems Interface with robots to create diversified interactive promotions users can access various corporate information through a single human-machine interface in the "chat room" through conversations or clicks, and experience efficient IT operations The robot built through iota Cai uses natural language processing technology of intent analysis and intelligent question and answer to present the richest dialogue cards in the industry It has the most flexible process design and mock testing functions, and supports multi-department division of labor Cooperate to complete Chatbot services in various fieldsfunctions RD funds account for 13, and investment in AI technology research and development accounts for about 40 Ruiyang Information’s annual RD expenditure accounts for 13 of its revenue, of which 30-40 is invested in the research and development of AI-related technologies After the epidemic, considering the increasing demand for WFH Work from home, it will continue to move towards Chatbot, mobile and cloud-based development, such as instant messaging, platform and video conferencing integration value-added, video conference text narration processing and archiving and other smart assistant functions, can provide related services from chatting, discussion, meeting, etc In the process of developing AI technology and services, Wu Zhenming pointed out that due to the varying degrees of digitalization of Taiwanese enterprises, it is difficult to collect data, and in an environment where the establishment of information systems is not mature enough, there are certain obstacles to introducing AI Ruiyang Information We will continue to deepen natural language processing technology and strive to provide a simple and easy-to-use dialogue platform to assist the smooth transformation of the industry As for the overview of Ruiyang Information’s overseas layout, Ruiyang Information stated that the products and services deployed in overseas markets include cloud and enterprise e-ization Among them, knowledge management KM, which has the largest market share, has expanded to mainland China There are 20-30 top tertiary hospitals, and cloud services are also widely distributed to Asian countries such as mainland China, Hong Kong, Japan, Thailand, Malaysia, Vietnam, and Mexico, South Africa and other places Product design tends to be modular, API and multi-lingual In the future, it will Continue to improve and optimize natural language processing technology, integrate it into other corporate backend systems, provide integrated one-stop text services, and expand the territory of overseas markets iota_Cai dialogue service platform can integrate various information systems and machines to improve business operation efficiency「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

From AI projects to AI products, Wisdom Stabil Tech has spent five years on this journey With experience in implementing AI across more than 10 fields and 30 enterprises, Wisdom Stabil Tech has developed the Domain AI SaaS platform to help companies rapidly integrate AI technology, saving an estimated 50 or more in time Founded in 2016, Wisdom Stabil Tech provides AI image recognition solutions for smart factories Their Domain AI SaaS platform assists clients in data cleansing, tagging, AI training, modeling, and the integration of hardware and software, leveraging the latest AI algorithms for practical implementation Five years of refining project experience has honed Wisdom Stabil Tech's AI products The general manager of Wisdom Stabil Tech, Lin Gengcheng, said that the company has extensive on-the-ground AI experience in fields as diverse as golf, textiles, petrochemicals, semiconductors, and water resources, with numerous application cases accumulated 慧穩科技累積豐富AI專案經驗，推出Domain AI SaaS平台。圖為平台系統架構圖。 He analyzed that there are three major pain points to successful AI implementation in the industry Pain point one, talent shortage From traditional industries to high-tech semiconductor businesses, it's extremely challenging to find dedicated AI technicians with domain expertise, especially in traditional industries and SMEs Instead of spending time looking for AI talent, it's more effective to use existing AI platforms that require no coding This allows domain experts to use, operate, and maintain AI, addressing the current shortage of tech talent Pain point two, difficulty assessing implementation results According to reports, the success rate of AI implementation isn't high, with only about 5 of international AI implementations creating significant value Wisdom Stabil Tech also finds that their AI implementation success rate is about 5 to 10 Lin Gengcheng analyzed that a major difficulty lies in the process of implementing AI, which requires defining the problem, understanding domain knowledge, applying AI models, and combining systematic integration Generating business value through these steps requires extensive interdisciplinary integration and is exceedingly challenging, necessitating significant time and human resources Pain point three, cost Whether it's the introduction of talent, time, or the integration of domain knowledge with AI, the processes demand substantial time This leads to directionless investments and ever-increasing intangible costs If AI hardware is also factored in, the resulting financial burden makes it difficult to assess cost versus benefit To address the pain points of AI adoption in industries, Wisdom Stabil Tech will assist enterprises in utilizing AI to solve process or production line challenges with their proven AI models, creating standardized AI SaaS to tackle common domain issues For individual or custom needs of enterprises, adjustments will be made based on this standardized base Currently, Wisdom Stabil Tech offers two primary services the Optical Inspection AI SaaS platform and the Smart Water Management AI SaaS platform, both of which are easy to monitor and maintain, enabling companies to introduce AI technology in a cost-effective and efficient manner 企業導入Domain AI SaaS產生成本下降、效率提升等具體成效 In the realm of optical inspection, using the Domain AI SaaS platform can lead to a 10x increase in quality and a reduction in labor costs by 50 In the smart water management sector, it can achieve a 20 improvement in energy optimization For instance, in the textile industry, where manual inspections traditionally detect defects at a rate of 80-90, the introduction of AI optical inspection technology can increase this rate to over 95 This not only significantly enhances the defect detection rate by 10 but also halves labor costs 舉例而言，紡織業瑕疵檢測過往採用人工全檢的過程中，通常檢出率在80-90之間，導入AI光學檢測技術之後，檢出率可以提升到95以上。之後再透過人工進行複檢或抽檢，不僅可大幅提升10的瑕疵檢出率，還可節省將近一半的人力，效益十分可觀。 Furthermore, in wastewater treatment plants that traditionally observe water quality samples managed by experienced technicians manually adjusting equipment, AI can optimize motor and equipment output based on monitoring data, maintaining water quality within specified standards and potentially saving over 20 in energy costs This is essential for municipal wastewater plants and water utilities needing smart water management platforms to monitor treatment processes Lin Gengcheng honestly mentioned that AI is not a cure-all and can act as a 'revealing mirror,' exposing issues previously overlooked by manual processes Thus, defining the problems with clients and adjusting how results are verified is critical With ambitions on the Southeast Asian market, Wisdom Stabil Tech estimates achieving an IPO in 5 years Lin Gengcheng also stated that AI technology needs continuous refinement At present, the goal is to not overly rely on massive data for effective AI learning Combining traditional algorithms with current AI technology offers the best solution before comprehensive AI advancements emerge Besides promoting domestic industry applications, Wisdom Stabil Tech plans to expand the Domain AI SaaS platform to Southeast Asia in 2022 They are currently active in Series A funding, aiming to further enhance the depth and breadth of the Domain AI SaaS They plan to conduct Series A or B rounds of funding with the goal of going public in about five years 慧穩科技團隊 慧穩科技創辦人兼總經理林耿呈「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

Can AI be mass-produced How to mass-produce AI Chimes AI, a company established less than a year ago, has built enterprise-level No-Code AI to help Taiwan's heavyweight petrochemical plant monitor 400 machines of different brands and models in just three months Through the Tukey platform, the modeling speed is accelerated and customer-built algorithms are supported, reducing the execution time of the AI project from 180 days to 3 days As the name suggests, No-Code means developing application tools without writing any line of code The method of use is very simple through a graphical user interface , you can easily complete the abnormal monitoring task with simple operations such as click, drag, and menu Raise a virtual data scientist to introduce AI in the factory to quickly achieve the goalXie Zongzhen, CEO of Yonghong Intelligence, serves as a lecturer at the Taiwan Artificial Intelligence School, through the Tukey platform He has led corporate teams to build AI projects step by step The projects he has worked on cover petrochemical, textile, energy, telecommunications, finance, medical and other industries, and he has accumulated considerable experience Everyone who works on AI projects knows that when executing an AI project, the most difficult thing is "communication requirements" Engineers need to confirm the company's needs, communicate with the masters, define the problem, and then collect data , cleaning data, annotating, building AI models, etc It takes a lot of time and communication costs to go back and forth If you can use No-Code AI tools, it will be like raising a virtual data scientist in your own factory Data cleaning, modeling and deployment are all completed by domain experts who are familiar with factory-side operations, achieving rapid deployment of AI technology Successfully complete the transformation goal Use the Tukey tool to lead the corporate team step by step in building AI projects Dr Xie Zongzhen said that the specific method of Tukey tool is that after field experts collect the on-site data into a machine-readable format, they feed it to the No-Code AI software Data cleaning and data modeling are performed in the software After confirming that the modeling effect is satisfactory, it is encapsulated into an API of the AI model and connected to the BI Business Intelligence dashboard To put it simply, the available data is entered into No-Code AI for analysis, and the analyzed modules are automatically packaged and then thrown to the war situation board, whether it is equipment performance abnormality warning, process Energy-saving suggestions or raw material product supply and demand assessments can all be used as references for decision-making The petrochemical plant completed abnormal detection of 400 machines in 3 months and increased the accuracy by 5For example, the global petrochemical giant Formosa Plastics Corporation There are dozens of factories in Taiwan If the AI projects had to be completed one by one, one equipment and one model would take about 180 days Not only is it time-consuming and labor-intensive, but it is also slower and slower in terms of efficiency The Tukey tool was used to build an AI model, and 15 senior equipment maintenance engineers on site conducted data modeling In just three months, abnormal monitoring of 400 machines, including machines of different brands and models, was completed Compressors, rotating fans, condensersetc The most important thing is that after the introduction, the availability rate of the equipment is increased by nearly 5, which is not only better than entrusting professional AI engineers, but also greatly improves the construction speed Friendly interface design, you can easily complete abnormal monitoring tasks through simple operations such as click, drag and drop, and menu Fan Wenxuan, associate director of Yonghong Intelligent Marketing, pointed out that Turkey’s greatest value to enterprises has two points First, it is a simple and fast development tool that allows enterprises to Internal concepts can be quickly verified Generally, AI projects take 6-12 months, but using Tukey can be completed in just 3 days Second, it is a flexible management tool to complete the AI model It allows enterprises to simply use it in the production production, sales sales, human resources human resources, development research and development, and finance finance of the company management, and is not limited to the manufacturing production line And can be integrated with existing systems such as ERP Xie Zongzhen also emphasized that there are many AI solutions For enterprises, it is a chore to introduce so many systems at once If they can choose a stable working platform, they can be centralized Therefore, Tukey's positioning is the concept of "microservices" The biggest difference from traditional AI projects is that the price of the project is high, which means that it can only solve problems with high commercial value However, there are many complex problems within the enterprise, which business and administrative units have to face every day, and cannot be solved by a project approach In this case, Tukey is a good method of "agile development" No-Code AI significantly reduces the threshold for non-IT personnel to enter AI applicationsTukey has the function of model retraining and adjustment When the enterprise's business strategy changes , new data must be accumulated When the new data is accumulated, it can be fed to the same Tukey project to perform the data analysis process "Cut the workflow into segments, similar to the concept of card swapping" Xie Zongzhen emphasized that as long as Change the original data of the first workflow and replace it with the new one The original data cleaning, modeling, parameter setting, model export and other processes will be completed in sequence The model is used to monitor whether on-site equipment is abnormal When the monitoring model is set, it is the peak state of the equipment After monitoring for a long time, the equipment will age, the equipment will age, and the original old model will also crack and decline Therefore, the model needs Retrain every six months Xie Zongzhen believes that No-Code AI is a solution that significantly lowers the threshold for non-IT people to enter AI applications How to make people on site willing to use it must create incentives to improve their work efficiency, prompting more cases to appear, such as customer service centers It can be used to develop potential sales lists Tukey can be used to generate 120 accurate e-marketing lists from 2,000 lists, reducing the erroneous marketing strategy of shooting at random At this stage, companies still view AI solutions in terms of one-off projects In fact, the performance of AI models is often related to data quality and data distribution trends When the operating model changes for example, process upgrading and downsizing, equipment updates, data drift occurs, and the performance of the original AI model declines This A rolling correction is required Therefore, the greatest benefits can be achieved by using No-Code AI tools and allowing the professional team most familiar with the business situation to monitor and update the AI model on their own In the future, Yonghong Intelligence will continue to accumulate application cases and cooperate with SI Company, and is expected to promote Tukey tools to overseas markets Xie Zongzhen left, chief executive of Yonghui Intelligent and sales associate Fan Wenxuan 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」