"Just like many pork stalls in traditional markets, you can buy pork everywhere However, different ways of processing and cooking will produce different delicacies" LnData has been deeply involved in data processing and application for many years President Xie Peifang explained in a simple way the advantages of Lin Data Technology when everyone is striving for "data" business opportunities Data is known as the "black gold of the new era" and is as important as crude oil With the advancement of technology and digital technology, the amount of data obtained by enterprises is growing rapidly How to refine oil into gold depends on experience, technology and the trust of brand owners Focus on first-party databases and establish sales communication intensity indicators Founded in 2016, Lin Data Technology specializes in data technology, provides diversified and innovative software services SaaS, and plays the role of an independent third party in the market Through diversified and advanced various types of data collection and The serial connection service assists enterprises in data collection, data cleaning, data management and final data application, using the most authentic and complete data in every business decision-making to gain market opportunities Xie Peifang, Chief Strategy Officer of Lin Data Technology LnData Xie Peifang said that the original intention of the company was to establish a third-party advertising effectiveness monitoring unit Since it is difficult to evaluate the brand owner’s advertising budget investment and effectiveness, in addition to the authenticity of the traffic, it is difficult to verify which placements are actually exposed, the audiences reached, etc Detailed information is often vague, so an impartial third party must monitor it to be fair, impartial, and transparent At the same time, we help brand owners to use digital marketing not only to achieve last-mile conversion, but also to achieve brand exposure and completely establish the consumer purchase journey However, since the fees for third-party advertising monitoring must be included in the overall advertising budget, and the media does not want to be monitored, the overall Taiwanese market acceptance is still not high Therefore, Lin Data Technology has turned to establishing a "first-party database" for brand owners ” is the focus of development SaaS products connect all consumer touch points and establish a first-party brand database The first-party database refers to the relevant data of brand owners in various marketing channels or digital content, as well as nodes that interact with consumers, collected through the unique crawling capabilities of Lin Data Technology, and then analyzed using artificial intelligence Process and generate sales communication intensity indicators Brand companies can use this indicator to understand the degree of discussion of their products in consumer groups, make corresponding corporate decision-making suggestions, and produce user behavior pattern analysis based on artificial intelligence Xie Peifang said that the first-party database will also be connected to the brand owner’s CRM system Through Lin Data’s technology, a brand data hub Brand Data Hub tailored for the brand owner can not only effectively track and connect each A consumer touchpoint data helps brand owners to interact meaningfully with consumers anytime and anywhere, and can also identify Key Opinion Consumers KOC who are loud and iconic in the community and are willing to speak out for the brand , become a brand ambassador, and through "mission" activities, increase member stickiness and diffusion, turn consumers into "brand groups", and truly achieve the purpose of precise marketing CRM combines Unified ID to track and understand the consumer journey Currently, Lindata Technology’s customer base is distributed in beauty, beverage, automobile, banking and other industries Through the customer relationship management system CRM combined with the function of the community, each consumer is marked with an ID, and the intention and behavior of consumers at various touch points such as web pages, advertisements, communities, and e-commerce are instantly grasped, and the customer's intentions and behaviors are provided The best marketing strategies for brands "In the past, brand owners' CRM systems were mostly created using Excel tables, which was labor-intensive Moreover, brand owners often spent 200,000-300,000 yuan to find KOLs Key Opinion Leaders, but they couldn't find them "Effect", Xie Peifang said that by using Lindata's SaaS service to digitize the data, it can not only establish and accumulate a membership database, but also find more than 100 loyal and high-volume consumers at once, accumulating the comprehensive benefits of the above consumers to the brand , far more than a KOL, of course the brand owner is willing to pay the bill At the same time, as the number of KOC increases, the voice meter of the online community continues to grow After establishing the database, there are three major benefits 1 Quantitative data on member influence are available for reference 2 The system accumulates the results of all members’ tasks In the past, a lot of manpower was spent on statistics, but now it can be solved with digital tools 3 The brand’s reputation and number of shares on the community will continue to increase, forming a positive cycle Xie Peifang said that when promoting data technology services, the biggest difficulty is that the amount of data needs to be accumulated for about six months to a year before truly meaningful analysis can be seen The specific approach is to first interview customers to clarify the data collection strategies and channels And she also admitted that what is really useful is CRM data Accumulated data without interactive information is dead and of no use Establishing a data middle platform as the ultimate goal and becoming a data supermarket AI technology is used to classify and group complex data from multiple channels, capture different data characteristics, and manage them with labels naturally generated by AI The actual work process is all the pipelines for data entry must be planned first, followed by cleaning the data This part is the most difficult After cleaning, labeling, classification and explicitness are started, and continuous optimization is started, and then it is packaged as a marketing tool Application of activities Cross-channel data concatenation and accumulation to strengthen brand database application Xie Peifang said that Lin Data Technology will continue to deepen the accumulation and application of first-party data from brand owners in the short term That is, from the customer's perspective, we develop SaaS services for all consumer journey nodes The solutions range from network monitoring, advertising monitoring, APP optimization, and consumer inquiry systems to dividing the services into independent SaaS tools and Focusing on consumers, we integrate all data to help brand owners better understand consumers The second stage is to develop a data market Data Marketplace After obtaining the consent of consumers, the data obtained will be de-personalized, such as different databases of investors with the same investment attributes, women in confinement, characteristics of diabetic patients, etc Exchange or cross-industry cooperation is possible In the final stage, Lin Data hopes to help brand owners build a "data middle platform" to quickly integrate brand data assets, exchange data in a safe, clean and trustworthy environment, and create a data supermarket In fact, there are more and more data markets in Taiwan, each with the ability to collect different data Xie Peifang adopts an open attitude and believes that whichever one is useful to brand owners is a good data market "Just like meat can be bought everywhere, but the methods of processing the meat are different and the taste is different This is the skill of the chef" This is Xie Peifang's most appropriate metaphor for the data market Lin Data Technology Company Team Note The core idea of the so-called "data middle platform" is data sharing Through organizational adjustment, data warehousing, data synchronization and other technical methods, a middle platform that uniformly manages data sources and applications is designed to support internal uploads Hundreds of business applications to avoid problems such as repeated construction and incomplete definition of data indicators

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」

In intelligent systems, AI plays a key role In addition to cultivating professional AI talents, the Artificial Intelligence Operations Management Research Center of the National Taiwan University of Science and Technology also actively conducts various project studies with enterprises to accelerate the implementation of industrial intelligence in Taiwan One of the cases uses artificial intelligence and machine learning methods to use quality information for maintenance prediction and planning, which greatly improves equipment reliability and product quality Using quality defect detection AOI technology can reduce the rate of missed defects Yu Wenhuang, director of the Artificial Intelligence Operations Management Research Center of the National Taiwan University of Science and Technology, observed that industry demand for AI is increasingly strong, and electronic manufacturing, finance, medical and other fields have greater development potential On the one hand, the above-mentioned industries have a high degree of informatization, and automation products Online technology and the digital environment are mature and have the conditions for the development of AI technology on the other hand, because the data required by the industrial environment has been retained, managed and used, it is easier to promote the application and solutions of AI technology when the concepts and data are available plan Quality defect detection AOI technology effectively reduces the wrong kill rate For example, in the field of smart manufacturing, the team of the National Taiwan University of Science and Technology's Artificial Intelligence Operations Management Research Center assisted Taiwan's major electronics manufacturers in constructing a production line equipment diagnostic system and building a sensing network architecture in the production line equipment at the manufacturing site to detect Measure and record the operating status of the machine Through big data analysis, a warning can be issued when an abnormality occurs on the machine to remind the manager to schedule maintenance We use the AOI quality defect detection process, combined with machine vision and deep learning technology, to detect defects in electronic parts and perform real-time control and monitoring to assist companies in developing automated optical inspection stations, surface defect algorithms, and management application functional services In the flexible printed circuit board FPC industry, quality defect detection technology is used for image identification, mainly for re-inspection after the initial inspection, and the original inspection results are designed to be re-inspected When doing defect detection, ordinary factories often believe that "they would rather kill a hundred by mistake than let one go" and adopt the most stringent testing standards With the current testing technology and process, it may cause excessive detection and waste the cost of good products The Artificial Intelligence Operations Management Research Center of National Taiwan University of Science and Technology focuses on smart manufacturing solutions Lecturer Professor Cao Yuzhong, director of the National Taiwan University of Science and Technology Artificial Intelligence Operations Management Research Center, said that the current flaw detection, AI model and algorithm construction and training of the National Taiwan University of Science and Technology Artificial Intelligence Operations Management Research Center have achieved preliminary results The center hopes to use images to The results of the identification can help companies quickly identify defects and quality status of products during the production process After that, the next stage can start from the source, how to optimize parameters, improve behavior in the production process, and assist the factory to optimize the process Better During the product production process, the parameters of the machine equipment can be used to analyze machine data abnormalities and summarize different patterns for future maintenance and quality management to provide reference for enterprises in the application field The epidemic is the biggest catalyst for digital transformation for enterprises Director Cao pointed out that the introduction of AI to promote digital transformation of enterprises is not necessarily just based on reducing costs or improving production efficiency, but must be based on the fundamental development goals and the essence of the problem Process analysis, thinking about how to use AI or ICT technology to serve and meet process and customer needs This process often requires breaking out of the existing framework to help companies reshape new operations and management models to effectively improve corporate performance Chair Professor Cao Yuzhong, Director of the Artificial Intelligence Operations Management Research Center of National Taiwan University of Science and Technology The biggest challenge for enterprises introducing AI improving customer trust In the process of expanding AI industry-university cooperation, Yu Wenhuang believes that the biggest challenge is to enhance the trust of enterprises in you For customers, a certain degree of trust is required before the Know-How of the production line can be communicated to you Share and tell you where the focus of business is In the absence of business trust, it is difficult for AI industry players to analyze the availability of processes and data Enterprises usually consider two key points when choosing AI cooperation partners 1 When cooperating with you, will the data and results be sold to others 2 Will the cost of customization be too high Although companies are less wary of academia, Director Yu still believes that gaining customer trust and jointly establishing sustainable AI innovation application capabilities and development goals are the key to The key factors for all ICT companies to face industrial customers and their ability to provide AI solutions Regarding the cultivation of AI talents, Yu Wenhuang also has his own unique insights He observed that the education system from junior high schools, high schools to universities has driven the trend of AI However, AI technology itself has many theoretical foundations and industrial knowledge that must be integrated When talking about AI talent cultivation, we should first define how to construct a talent development system or route in the AI field, what types of people are needed to introduce AI into the economic system, systematize talent positioning and characteristics, and let talents who are interested in investing in the AI industry understand how to use their own The goal measures the types of AI skills and jobs that can be developed Secondly, it is to help companies that want to promote AI in a systematic way to understand, whether it is developing applications or building technical teams, how to measure the talent needs and technical blueprint corresponding to business goals It not only plays the role of problem-solving, because AI It is just one of the ways to solve the problem Only by assisting enterprises to establish innovative consciousness with AI RD thinking can we truly implement industrial development, strengthen demand and promote both supply and demand at the same time, and accelerate the implementation of AI applications and talent cultivation NTUST Artificial Intelligence Operations Management Center provides a number of smart manufacturing solutions Regarding smart manufacturing solutions, the solutions provided by the Artificial Intelligence Operations Management Center of National Taiwan University of Science and Technology are as follows Intelligent predictive maintenance Adopting artificial intelligence and machine learning methods, using quality information for maintenance prediction and planning, greatly improving equipment reliability and product quality, establishing failure modes and reliability analysis based on different equipment operating characteristics, and using process control analysis to trace products Quality history helps on-site personnel eliminate operational abnormalities in a timely manner Smart dispatch and scheduling planning According to the characteristics of the industry, develop intelligent labor dispatch and scheduling algorithms to effectively shorten setup time and total working hours For example, for a variety of workpieces, the production schedule must meet conditions such as combined material preparation, group production, and specific process sequences From the group production of workpieces, the assignment of adapted production lines, to the multi-parallel single-machine scheduling that adjusts the production sequence of each production line under grouping, the optimization algorithm is introduced to design a complete smart schedule system Deep learning and automatic optical inspection Improve quality defect detection AOI technology, using machine vision and deep learning, which can detect flat and curved surfaces of metal electronic parts, and perform real-time control and monitoring, including automated optical inspection stations, metal AOI defect algorithms, and modular design and other application technologies The design elements of this algorithm 1 Automated optical inspection station 2 Metal AOI defect algorithm 3 Modular design Smart Situation Room Combined with high-end graphics card flexible assembly units, including processing machines, industrial robot arms, collaborative robot arms, engineering inspection stations and conveyor belts, a smart war room with digital twin technology is established The technical features include real-time monitoring, data integration, data Transparency and data visibility 「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」

2D industrial cameras of European, American and Japanese brands have been popular in the market for many years The market has been reshuffled as it transitions from 2D to 3D The domestic brand LIPS, which mainly focuses on 3D cameras, has taken advantage of the trend and launched a variety of 3D camera from standard to industrial models It provides total solutions through hardware, software, and systems, has become a hot commodity in the market Since its establishment eight years ago, LIPS has focused on the 3D sensor market and aims to become a leading brand in machine vision The 3D image and sensor market will exceed US10 billion in 2026 with an annual growth rate of 14 According to forecasts of Yole Deacuteveloppement, the 3D image and sensor market will grow from US68 billion in 2020 to US15 billion in 2026, with a compound annual growth rate reaching 145 Among them, the mobile and consumer markets will account for 46, becoming the mainstream of the market, followed by the automotive and industrial fields, accounting for 22 In terms of mobile and consumer markets, in addition to mobile phones, 3D sensor technology has a wide impact on the consumer market, including tablets, VRAR, robot vacuum cleaners, and AIoT AI combined with IoT For example, the 3D facial recognition of Apple's iPhone is the most popular 3D sensor technology today LIPS focuses on the development of 3D vision and AI, providing software development kits and software and hardware solutions The software development kit is based on 3D depth images combined with AI algorithms, and can be quickly applied to industrial automation, smart logistics, smart healthcare, smart retail, industrial safety, and automotive assistance systems LIPS has three core competencies Benson Lee, chief marketing officer of LIPS, said that 3D depth cameras integrate optics, electronics, mechanisms, parallel processing, algorithms, and AI, and has a high technical threshold The three most common 3D sensor technologies are Time-of-Flight TOF, stereo, and structured light depth cameras The company provides 3D sensor total solutions Benson Lee also pointed out that the companyrsquos has an advantage in 3D sensor end-to-end solutions 1 In terms of 3D depth cameras, it covers three technologies ToF, stereo, and structured light It is rare for a manufacturer to have all three technologies at the same time 2 3D sensor intermediary software supports AI sensor intermediary software, such as facial recognition, head count, body tracking, gesture recognition, and spatial measurement 3 One-stop solutions for 3D sensor systems, such as 3D scanners, advanced driving assistance systems, and facial recognition systems are provided as standard products and can be customized according to customer needs The company has become the best 3D AI technology partner for many iconic customers around the world LIPS 3D vision guided robot solution Obtained 30 patents around the world, LIPS products reach deep into the Japanese market LIPS has obtained more than 30 patents for its 3D AI technology, mainly in the United States, China, and Taiwan Its marketing strategy has shifted from exports to domestic sales, starting with Japan and working with tier one Japanese customers, such as multinational tech company in precision ceramics, one of the top eight electric machinery companies in Japan, and Japanese device manufacturing and solutions providers The company has shipped large quantities of goods to several world class customers, such as the multinational tech company in precision ceramics, the largest manufacturer of industrial self-propelled vehicles in Germany, and one of the top eight electric machinery companies in Japan Among them, the LIPS 3D camera supports the leading AI company Isaac and has been fully adopted for autonomous mobile robots AMR in the factory of the largest industrial self-propelled vehicle manufacturer in Germany LIPS has also obtained a supplier code of the largest industrial self-propelled vehicle manufacturer in Germany LIPS also provides the best 3D vision solution for the platform of the leading AI company, and can be integrated into the automation platforms of leading AI companies Isaac and Jetson This platform mainly provides total solutions for robotic arms, factory automation, AGV, and self-propelled vehicles LIPSedge supports the SDK of the leading AI company Isaac, and there is currently only a handful of certified 3D cameras Mr Luke Liu introduces the robotic arm The 3D sensor solution provided by LIPS is more accurate than 2D It uses 3D skeleton technology to provide a safe "3D virtual fence" for robotic arms, which were provided to the robot factory of a Japanese multinational tech company that makes precision ceramics It is expected to become the standard equipment of robotic arms around the world The 3D measurement market has unlimited potential, targeting the global logistics and transportation industry After the pandemic, LIPS actively invested in related applications and is currently targeting logistics and industrial automation solutions Besides application in virtual fences, 3D package size measuring machines used in the logistics and transportation industry are developing the fastest and the most mature The product has entered the Japanese market through Japanese partners, and has unlimited potential for application in post offices, logistics stores, and convenience stores LIPS' strategy is to first enter the Japanese market and then expand to the global market after establishing successful application cases Benson Lee pointed out that the technical threshold of 3D measurement algorithms is extremely high Japanese logistics companies deploy it in stores to measure irregular items, such as suitcases, shopping bags, and paper bags Manual measurement was time-consuming and labor-intensive The use of 3D cameras to measure length, width, and height greatly reduces the manpower requirement, and gives store clerks more time to serve customers properly LIPS 3D measuring machines have been certified by Japan's top three logistics solution providers In addition to 3D measuring machines, LIPS is also actively developing other logistics solutions, such as assembly lines and mobile versions Customers include the world's top logistics companies LIPS hopes to provide 3D measuring solutions to post offices, convenience stores, and logistics centers worldwide, and has gained one-third of the market share in logistics automation LIPS was founded in 2013 by Luke Liu, who studied at MIT The company is highly technology-oriented and specializes in 3D sensor and AI technology It uses depth cameras with software algorithms to provide machine vision and AI solutions that meet customer needs, and applies the solutions in various industries

Motors are a critical power source for various devices in modern times, and are key components of many automated equipment, acting like the heart of machines Any malfunctions not only shorten the lifespan of the motors themselves but also affect the entire system's operation, potentially causing delays in production due to downtime Through the use of Smart Vibration Diagnostic and Monitoring Solution SVDM Solution, Haobo Technology utilizes AI to comprehend motors, becoming an indispensable tech partner in intelligent manufacturing The essential industrial motors see an almost 4 annual compound growth rate According to statistics, the market size for industrial motors was 329 billion in 2017, with an expected compound annual growth rate of 363 from 2019 to 2025 Motors have a wide variety of uses, nearly essential in all equipment operations, and represent a technology that is well-developed, with numerous suppliers and a long product lifecycle Haobo Technology, established in 2015, started by solving motor noise issues In recent years, due to the rapidly evolving AI technology, Haobo Technology has continuously innovated and researched, integrating vibration frequency with sound-based audio processing technologies and AI algorithms for noise reduction, along with their self-developed wideband low-noise vibration sensors They introduced a new generation of industry-leading 'Smart Vibration Diagnostic and Monitoring Solution' SVDM Solution, overcoming previous challenges in detecting main vibration frequencies and predicting vibration models in complex environments, making it an essential solution for accelerating industrial intelligence Haobo Technology's 'Smart Vibration Diagnostic and Monitoring Solution' has been successfully applied in PCB drilling machines, semiconductor equipment, machine tools, and medical equipment Haobo Technology's CEO Lu Hongyi states that the Smart Vibration Diagnostic and Monitoring Solution is distinguished not only by its noise reduction capability but also by the AI model's ability to instantly recognize abnormal frequencies in motor vibrations Since general motor sensors are too large to be mounted on the motors, Haobo Technology has customized thin sensors to be installed on the spindle motors, allowing AI models to be computed in real-time on edge devices, significantly reducing the cost of computational resources, with an overall potential reduction in costs by one-fourth Simultaneously, advancements in vibration detection for motor operations have exceeded past technological limits, thus allowing for the immediate detection of the minutest changes and providing early malfunction warnings, helping to extend the lifespan of the motors Haobo Technology has established a vibration data AI analysis platform that constantly monitors the health of motors Haobo Technology's self-developed AI engine is capable of training database modules from collected operational vibration data of motors and establishing a proprietary database for that equipment, which provides real-time comparisons during operation, monitoring if the production equipment is functioning normally Upon detecting any abnormalities, the system instantly issues a warning alert, enabling on-site managers to address the issue immediately to prevent large quantities of finished or semi-finished products from defects Haobo Technology's vibration data AI analysis platform can detect the most subtle vibrations in motors, thus precisely predicting their health status Lu Hongyi mentions that the company independently develops its sensors, hardware, firmware, and AI data analysis platforms, which allows for the detection of the faintest vibrations in motors, thereby accurately predicting their health status This optimization of product quality and preemptive monitoring of production equipment health aims to enhance productivity Haobo's 'Smart Vibration Diagnostic and Monitoring Solution' SVDM Solution has successfully been applied in PCB drilling machines, semiconductor equipment, machine tools, and medical devices, with future plans to actively promote across various industries and enter the international market, hoping to become a pioneer in smart vibration diagnostics Haobo Technology CEO Lu Hongyi「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

According to statistics, there are more than 750 million security cameras in the world, with an annual growth rate of 10-15, showing that modern people have increasingly urgent needs for security However, due to the huge amount of accumulated image data and issues related to personal privacy, even though 90 of public areas, factories, banks, etc have security cameras installed, less than 1 of the images have been analyzed and applied In order to solve personal privacy issues and enhance the multiple applications of image analysis, cloud guardian security control Beseye has developed human backbone feature analysis technology, which can effectively solve security issues Human backbone feature analysis technology improves analysis accuracy by about 30 Beseye, a cloud protection and security company, was founded in 2013 Its founding team comes from MediaTek and HTC, and has exclusively developed high-precision long-distance human skeleton feature analysis technology Skeleton-Print Technology , captures 4,000 feature points on the human body to analyze people's behavior in different fields Even at a detection distance of 30 to 50 meters, it can accurately capture the detector's hands, torso, feet or Characteristic points such as walking posture Tu Zhenghan, founder and CEO of Beseye, a cloud protection security control company, said that Beseye’s technical advantages and features include long recognition distance, small face angle restrictions, high low-light tolerance, and no need to analyze faces during the analysis process department information to ensure that people’s privacy is not violated and there is no need to worry about information security issues Cloud guardian security control Beseye monitors dangerous areas in the factory At the same time, the technology has a high degree of real-time analysis capabilities, with an average identification speed 375 times faster than traditional analysis, and analysis accuracy increased by approximately 30 Application fields include retail shopping malls, analyzing consumer behavior public transportation systems, detecting whether people break into dangerous areas factories, worker procedure detection, prohibited area detection hospitals, fall detection, rehabilitation posture analysis banks , intruder detection and other analysis Tu Zhenghan said that Taiwan has the third highest density of security cameras in the world, second only to China and the United States The cameras collect a large amount of image data every day, and cloud protection security Beseye locks factories, smart retail and transportation public areas, etc Among the three major application areas, the Taiwan and Japanese markets are the main ones, with Taiwan accounting for 60 and the Japanese market accounting for 2-30 In the next 2-3 years, it will continue to expand to Singapore, Hong Kong, Europe, the United States and other markets The application of cloud guard security control Beseye on the factory production line Operation model of artificial intelligence analysis platform, security and customer group analysis Among them, in terms of factory operations, Tu Zhenghan analyzed that manufacturing factories are most concerned about three major issues 1 How to manage the supply chain to ensure safe supply of raw materials 2 How to implement production management on the production line 3 How to smoothly transport the finished product to the client after the production line produces it The core technology of cloud guardian security control Beseye focuses on how to help the management of the production line become smoother The management efficiency, quality and personnel safety of the production line are all related to production capacity and revenue, and are the economic lifeblood of the manufacturing plant Inspection measures must be implemented between each work station If inspections are missed, it will cause losses on the production line If an industrial safety accident unfortunately occurs, the compensation and reputational damage that may be faced are often unbearable by major international companies The operation mode of cloud guard security control Beseye's artificial intelligence analysis platform is not only biased towards safety analysis, such as whether factory employees have special postures and movements that may cause work safety accidents, but the other part is biased towards customer group analysis That is, crowd flow analysis and consumption trends in the retail industry Huang Yuxin, marketing director of cloud guard security control Beseye, said that in terms of smart retail, large shopping malls, department stores, clothing brands, etc will be introduced She pointed out that retailers can only know the number and quantity of checkouts through the POS checkout system every day, but cannot see the appearance of their consumer groups Retailers want to know more about the number of consumers who come to the store every day, how long they stay, the path they move through the store, and what products they touch in the store Through the analysis of consumer actions and behaviors, the consumer purchasing journey can be outlined and corresponding marketing strategies can be adopted Cloud guardian security controls Beseye’s monitoring of picking up items from smart retail shelves The application of cloud guardian security control Beseye in smart retail customer information collection For example, for products of different brands, although the daily sales are the same, through image analysis, it can be understood that 300 people picked up brand A, but only 100 people bought it Compared with 100 people picking up brand B, there are With 100 people buying, you can grasp consumer decisions and adjust your marketing and pricing strategies In addition to real-time analysis of images, the Beseye Artificial Intelligence Platform of Cloud Guard Security Control will collect advertising results for final data feedback For example, when digital electronic billboard advertisements are broadcast, the age and gender of consumers who watch them, the effectiveness of advertising, etc will be recorded on the platform It will automatically learn to understand whether the original target of the advertisement matches the actual interested target, and automatically correct the advertisement to be delivered to the correct audience to achieve the purpose of precise marketing Beseye's current partners include Japan's Tokyu Electric Railway, Japan's JFE Steel, Taiwan's Chunghwa Telecom, Taiwan's Far EasTone Telecommunications, Advantech and other large domestic and foreign companies In the future, it will develop towards long-term care, banking and other industrial fields Huang Yuxin, marketing business director of Beseye, a cloud guardian security control 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

"Hi I am Afa It is my birthday this month This year I will give you a birthday gift" This is Cathay World Bank's smart customer service Afa, which has been implemented in the five major subsidiaries of Cathay Financial Holdings, except In addition to a customer satisfaction rate of 94, it has also brought a new group of young customers to Cathay Financial Holdings This intelligent robot was jointly developed by Xinli Information Through AI supervised training and a purely locally developed dual-brain one process, SysTalk The ai service robot can achieve more powerful language understanding than Google Bert Xinli Information has created the local SysTalkai brand and exported it internationally It hopes that the proportion of overseas revenue will increase from 15 to 50 in the next five years Technology-oriented Xinli Information strengthens the strength of the local AI team Xinli Information, founded in 2005, is a "technology"-oriented information software service provider that focuses on the research and development of digital financial technology The highest proportion of customer groups is in the financial industry, accounting for 65, and the remaining 35 includes Government agencies, high-tech industries, transportation, such as Beijing Municipal Government, Ubike, etc Xinli Information continues to develop its own technology "Five years ago, bank customers needed customer service intelligent robots After Xinli introduced intelligent robots from the United States, they almost dismantled and reorganized them and re-created independently developed customer service robots" Xinli Information Information general manager Yao Shengfu went on to say that the bank's requirements are very high, and Xinli engineers worked day and night to launch SysTalkChat - an intelligent customer service robot solution that uses next-generation NLU technology for semantic analysis and Chatflow conversation process engine to provide the most flexibility chat function At this stage, it has been introduced by Cathay Pacific Group into its five major subsidiaries including banking, life insurance, property and casualty insurance, investment credit and securities The intelligent customer service "Afa" provides one-stop service and creates a new working model of human-machine collaboration Xinli Information outlines the AI solution blueprint for the digital workforce After having successful experience, Yao Shengfu said that as global investment in AI RD technology teams doubled, Xinli became a The only AI conversational robot on the market equipped with dual NLU algorithms, accelerating the goal of Taiwan's local model to be on par with international standards Currently, Xinli Information has 550 employees, including 60 people in the AI team, accounting for one-tenth of the total Combining the global open source community, Xinli Information uses SysTalkai developed by Taiwan's local team to create "eyes machine vision and facial recognition, ears speech recognition, mouth speech synthesis, TPS, brain natural language Understand NLU" 4 major AI models, and through SysTalkRPA - RPA automated process robots, we hope to create Taiwan's AI digital workforce and provide end-to-end solutions At the same time, for small and medium-sized enterprises with limited resources, Xinli also provides cloud solutions Lower the threshold for digital transformation and prepare for the industry to quickly move towards digital transformation after the epidemic Xinli Information dual-brain analysis conversational service uses a number of AI technology applications There are so many new AI innovations in Taiwan What are the characteristics of Xinli’s AI solutions Yao Shengfu said that considering AI as a product line, even if the technical depth is sufficient, it will be difficult to achieve if the integration and implementation capabilities are insufficient Most of the customers Xinli serves are large enterprises Customers require technology manufacturers to be able to implement technology customization and help customers highlight their value In addition, Xinli has always attached great importance to the quality of follow-up services, which is the key to Xinli Information's success However, even though it emphasizes the "technology-based" service spirit, Xinli Information also cooperates with FinTech companies to implement technologies and ideas in actual customer application scenarios, so that Taiwan's FinTech energy can exert a synergistic effect, such as Xinli cooperates with the StockTime cloud innovative service platform to jointly provide more convenient and secure SaaS stock management services, and plans to provide more financial applications on the platform through blockchain technology Hard skills soft power to cultivate a key talent pool for digital transformation "Digital talents" are an important asset in the software industry In addition, financial holding groups have established digital finance-related departments, and the war for talents is constantly going on In order to cultivate local professional talents, Xinli Information has formulated a six-month "IT "Xinxiu Elite Training Plan" provides educational training on technical skills in the first three months in the second three months, personnel are assigned to various departments to actually participate in projects Through the instructor's step-by-step guidance, the trainees can quickly implement AI In the project plan, hundreds of professional talents have been trained so far After cultivating "hard skills in the first three months and soft skills in the next three months", Yao Shengfu believes that he is not enough to serve as a consultant for industrial digital transformation It will take another three years or so to be able to serve customers Make recommendations for transformation However, the members of the Xinli Information AI department are quite diverse, including journalists and linguistics related people We hope to provide suggestions on transformation solutions for various industries through participants in different fields Talent is an important asset Xinli Information uses hard skills soft power to cultivate a key talent pool for digital transformation The picture middle is Lin Xiuming, deputy general manager of Xinli Information AI Product Business Division Xinli Information wants algorithms to go out of the laboratory and no longer just be words on research reports Therefore, we actively promote it to enterprises and hope to create algorithm applications in different industries and scenarios, so that the algorithm can take root in enterprises and become a real AI helper In addition, Xinli is also based on Taiwan's successful experience and promotes it to other overseas markets, including Vietnam, Singapore, Seattle, USA, etc, so that vertical enterprise AI services can be implemented and provided to more countries and enterprises Yao Shengfu pointed out that it is really necessary for the government to gather all the outstanding software service forces in Taiwan to develop Taiwan's software ecosystem In the next five years, the proportion of overseas revenue will increase to 50, moving towards an international company With the expansion of operation scale, the company has more than 100 large and small projects in progress at the same time, and the challenges of project quality and cost control are getting bigger and bigger Through the self-built enterprise resource management system, Yao Shengfu can now understand the costprogress status of each project in real time through the dashboard lights, and can also control quality and understand customer satisfaction through the audit system In terms of human resources management, we also hope to analyze the basic skills of each employee in the future, and establish an AI model talent database through the trajectory of serving customers, so that suitable employees can be matched to different customers Further enhance customer service satisfaction Since 2017, Xinli Information has successively established overseas bases in Singapore and Ho Chi Minh City, Vietnam The Vietnamese market has achieved outstanding results in 2021 In addition to continuing to cultivate the Southeast Asian market, which has a promising future, it has also simultaneously attempted to enter the European and American market channels , keep pace with international manufacturers Xinli Information hopes to use Taiwan's talents and software services to serve more customers in Southeast Asia and around the world In the next five years, the proportion of revenue from overseas markets will increase from 15 to 50, becoming an international company Yao Shengfu, general manager of Xinli Information 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

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」