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【2020 Solutions】 'Knowledge Graphs' create health education angels, answering all questions faced during pregnancy

Artificial Intelligence (AI) is evolving rapidly. Traditional scripted response smart customer services are no longer sufficient. Emerging from this is the use of Knowledge Graphs in smart assistants. Through knowledge graphs, these smart assistants can provide exhaustive, tailored customer service, helping consumers efficiently and effortlessly find their desired products. The most common AI applications in daily life are smart customer services or smart assistants. For smart customer services, the aim is mainly to address customer inquiries, but they often face the issue of providing too generic and rigid responses, lacking flexibility.

Utilizing knowledge graphs to establish smart assistants

To develop a smooth-questioning smart assistant, it's crucial to optimize technologies such as natural language processing, semantic analysis engines, multi-turn dialogues, context awareness, emotion recognition, and personalization. Supported by the Economic Ministry's Technology Department, the Institute for Information Industry’s Service Innovation Research Institute has developed tools for domain knowledge construction and management. These tools assist in transforming corporate websites, databases, and documents into corporate knowledge graphs using AI recognition models. When used in smart customer service, if the customer query is vague, it can proactively ask follow-up questions based on the knowledge graph and provide precise answers through multiple dialogue rounds, saving on professional labor costs and response time, and delivering better consumer service experiences. Chen Bing-Yi, head of the Institute, points out that simple smart assistants operate by connecting to fixed APIs and responding based on predefined data formats, which is straightforward for queries like tracking shipments through Line or Facebook Messenger. However, for more flexible customer issues such as cancer insurance clauses, credit card application terms, or legal advice, more complex technologies are required. Technically, AI must convert unstructured data from documents, websites, or even social media into patterns that computers can understand, i.e., establishing corporate knowledge graphs. In simple terms, knowledge graphs are primarily built by extracting all significant texts and marking the relationships between them, automatically creating relational graphs among all individuals, events, and objects. For example, the computer can extract and determine the relation between Nantou and Oolong Tea as 'Origin' from social data, and link 50 Lan's products to Oolong Tea as 'Product'. Once a consumer wishes to know 'Where does 50 Lan’s Oolong tea come from?', the system can infer using the knowledge graph and provide 'Nantou' as the response, making customer service smarter and more professional. Additionally, smart assistants no longer passively receive queries; they can actively notify and remind consumers, for instance, notifying pregnant women of important prenatal tests they need to undergo through Line and Facebook Messenger, ensuring no tests are missed and enhancing safety. The smart assistants developed by the Institute are being progressively applied across retail, finance, and medical sectors including applications such as querying credit card benefits, product specifications, and medical education advice, with several companies already having successfully implemented these practices. Plans are in place to integrate external social data or open up knowledge graphs for future development, continuing to collaborate with partners to advance the application of knowledge graphs in various new forms of AI services.

Applications of Knowledge Graphs: Health Education Angel Chatbot

New mothers often face a multitude of questions during pregnancy, such as morning sickness, diet, fetal health, and prenatal check-up considerations, affecting their sleep, personal health, and potentially impacting fetal health. The Service Innovation Research Institute, in collaboration with Hua Xin Health Technology, uses AI technology to process health education manuals from the Ministry of Health and Welfare and community discussion articles. This initiative aims to build a Health Education Angel using natural language processing and knowledge graph technologies specifically for addressing various issues encountered during pregnancy.

The institute and Hua Xin Health Technology have collaborated to develop the Health Education Angel chatbot to answer various questions during pregnancy.

▲ The institute and Hua Xin Health Technology have collaborated to develop the Health Education Angel chatbot to answer various questions during pregnancy.

If there are questions related to prenatal examinations, they can be inquired through 'Prenatal Examination ABC', where the system will provide information about whether certain prenatal tests are chargeable and the diseases they can screen for. If there are concerns regarding dietary and health status during pregnancy, 'Pregnancy Encyclopedia' can be utilized. By posing questions in natural language, the system will offer the most relevant expert answers. Additionally, information about valuable pregnancy resources and welfare assistance is available for pregnant mothers to consult.

The Health Education Angel can pose questions in natural language, and the system will provide the most relevant expert responses.

▲ The Health Education Angel can pose questions in natural language, and the system will provide the most relevant expert responses.

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

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【解決方案】破壞式創新商模 奇翼醫電推出行動醫療裝置- 心電圖傳感器 打造遠距醫療當中最後一塊拼圖
Disruptive innovative business model Qiyi Medical Electronics launches mobile medical device-ECG sensor to create the last piece of the puzzle in telemedicine

With the advent of the post-epidemic era, the development of global telemedicine is in the ascendant, which has greatly increased the demand for smart medical technology in decentralized medicine Among them, if mobile medical devices can provide real-world at home or outside the hospital data for use in hospitals, it is believed that it will reduce the burden of diagnosis and treatment on doctors or medical personnel and reduce health insurance expenses To this end, Singular Wings Medical has launched a comprehensive telemedicine solution, which combines excellent wearable mobile medical device design, innovative software development, AI algorithms and cloud platform services, and will become the last piece of telemedicine puzzle David Lee, the founder and general manager of Qiyi Medical Electronics, said that his original intention to start the business was because he witnessed Taiwan's long-term pursuit of low-cost mass production, which led to the continuous decline in the value of the industry For example, in the past thirty years, The output value of the former Silicon Valley was similar to that of Taiwan's Hsinchu Science Park, but thirty years later, the output value of Silicon Valley reached US14 trillion at the end of 2020, while the output value of Hsinchu Science Park was less than NT15 trillion at the end of 2021 Seeing Silicon Valley's sensitivity to industry needs and disruptive innovations such as Uber, Airbnb, industry trends and the post-epidemic era have driven a surge in telemedicine services, thereby creating high industry value, so I started a business at the age of 45 and conceived how to combine it with Taiwan After more than ten years of accumulated industrial advantages and Silicon Valley's innovative model, we decided to help Taiwan's industry upgrade and find a new path through the integration of the medical industry, ICT technology industry and innovative business models Seeing that Taiwan has always been a gathering place for the most elite talents in the medical industry and electronics and electrical industry, I believe that through the combination of the two and innovative business models, we can have the opportunity to follow Silicon Valley and create a different business According to Taiwan’s Communication Diagnosis and Treatment Methods, Taiwan’s market demand for telemedicine is divided into two situations emergency such as COVID-19 and special necessity such as special geographical locations such as outlying islands or mountains It is allowed Carry out communication medical diagnosis In fact, the development of global telemedicine decentralized medicine is in the ascendant, but the demand for smart medical technology to meet decentralized medicine still needs to be realized In addition to the medical technology gap, it also includes medical treatment flow, patient identification, remote Remote consultation and collection are fueling the push for smart medical technology Li Weizhong observed that for telemedicine decentralized medicine to be successfully implemented, it is best to use telemedicine devices that are used outside the hospital or at home and are easily available in daily life Among them, the data of the device is the key It can provide doctors with out-of-hospital real-world data Real World Data or Real World Evidence that they can trust and apply, so that they can improve their diagnosis and treatment methods In fact, this type of telemedicine device is not popular, making remote medical care difficult to complete In addition, as the number of wearable devices such as bracelets and watches increases, most of the data that these devices can truly provide is insufficient for medical purposes and is not easy to validate and verify Li Weizhong said that people are paying more and more attention to health awareness, which is a positive encouragement for telemedicine devices He believes that as long as there is an appropriate business model and the right way to cooperate with hospitals and doctors can reduce the burden on doctors or medical personnel and reduce health insurance expenditures, Qi Yi Medical Electronics will definitely have the opportunity to become the last piece of the puzzle in telemedicine Founded in 2015, Qiyi Medical Electronics’ core team consists of 22 diversified professionals, including young engineers with medical, engineering and information backgrounds and experienced entrepreneurs, working together to create an overall solution for remote healthcare The solution includes hardware design, software development and backend cloud platform services for the mobile medical device Beatinfor Health electrocardiogram sensor Electrocardiogram ECG is one of the most important vital signs body temperature, pulse, respiration and physiological data of the human body, which can reflect various physiological changes in the human body, such as cardiovascular health, inflammation, infection, bleeding, injury or anxiety index changes For this core concept, Qiyi Medical is committed to using wearable electrocardiograms as its core technology, while collecting important vital signs and environmental parameters such as electrocardiograms, and building AI algorithm systems and backend cloud platform services based on big data and machine learning to help solve remote problems Specific chronic diseases such as cardiovascular disease, sleep problems, and metabolic diseases are the most important in medical treatment Electrocardiogram sensor continuous physiological data monitoring reduces the risk of death in acute heart failure patients by 11 within 30 days after discharge In order to realize remote medical services, Qiyi Medical Electronics has launched a complete set of remote medical care solutions, including wearable mobile medical devices-electrocardiogram sensor BEATINFO ECG, BEATINFO HEALTH APP, and AI algorithms , web pages and BEATINFO HEALTH cloud service platform The BEATINFO ECG sensor is an exclusive device for the BEATINFO HEALTH APP health cloud platform It can be used continuously for 40 hours when fully charged The device is only 15g This sensor can collect the user's electrocardiogram, respiration, and skin temperature through a patch or chest strap , body movements, postures and environmental parameters Currently, BEATINFO ECG sensor has 8 patents in the United States and Taiwan, and won 2 German iF Design Awards in 2017 Mobile medical device-electrocardiogram sensor can provide continuous physiological data monitoring In terms of overall technical features, the BEATINFO HEALTH cloud service platform has four key physiological data detection characteristics continuity, long-range, real-time and dynamic In terms of operation, users can download the BEATINFO HEALTH APP on Android or iOS systems Its interface can provide physiological data status, order health assessment reports such as one-day sleep assessment report or cardiovascular health assessment report, and high-intensity exercise test Cardiovascular assessment reports, third-party remote medical consultation services and other functions Users use patch-type or chest-strap ECG sensors paired with end-to-cloud platforms for continuous physiological detection Before being transmitted to the cloud for further calculations, all data will be de-identified and made available to professionals Data reports are provided for physician judgment The BEATINFO HEALTH cloud service platform has powerful noise filtering processing capabilities, fast waveform recognition and judgment, as well as highly complex cloud architecture and communication technology Why is the noise filter processing capability so important Because medical equipment in general hospitals must require users to complete short-term measurements under static conditions Usually, data in life situations outside the hospital cannot be collected by the hospital, and this data is very important to doctors It is increasingly important to understand the progression of the disease and the condition of patients leaving the hospital Therefore, if we continue to record very weak ECG signals in daily life, we actually need to overcome a very high technical threshold After these signals are processed by the noise, they will first be judged by the AI algorithm before preliminary and rapid conclusions can be made Users can instantly avoid certain fatal risks The cloud architecture provides a deeper level of second-order computing and also covers the business model architecture It provides service models such as user management, automatic report generation, record keeping, alarm notifications, and connection with more services such as third-party alarms Emergency rescue, third-party medical consultation, doctor and patient docking, medical treatment cash flow and other functions In terms of competitive advantages in the industry, compared with the industry's braceletwatch products, Qiyi Medical's electrocardiogram sensor BEATINFO ECG provides accurate medical-level measurements, and can continuously record and collect physiological data, improving any Sudden or sporadic symptoms may occur Compared with the electrocardiogram patch of its peers, it provides real-time data return and web-based management tools, and can produce various reports for managers to remotely manage a large number of users on the web According to statistics from Beijing Medical University, the mortality rate of patients with acute heart failure within 30 days after discharge is as high as 11 If an electrocardiogram sensor is installed on the patient for continuous and real-time monitoring for 30 days, it is possible to reduce part of the risk of death, and at the same time, it can Significantly reduce health insurance costs Additionally, in the case of cardiovascular disease, if the user wears the device for a period of time, regular cardiovascular assessment reports can be obtained and provided for follow-up in-depth examinations by doctors In addition to the measurement of cardiovascular diseases, the ECG sensor configuration can provide home assessment of sleep apnea OSA During the measurement, patients can discover potential and easily overlooked cardiovascular diseases, and users do not need to stay in the sleep ward for treatment After a boring night, through the ECG sensor patch and AI algorithm, patients only need to sleep at home for one night to receive an OSA test report If needed, doctors can access patient status remotely and instantly via any internet browser Therefore, through the ECG sensor wearable service, users can discover hidden and unknown cardiovascular diseases such as arrhythmias related to sudden death from the measurement process to avoid unnecessary regrets Qiyi Medical Electronics’ business model is mainly B2B2C, hoping to assist individuals, hospitals, enterprises, care services and other units to create a win-win situation Li Weizhong analyzed that the business cooperation model is quite flexible, whether it is leasing or buying out wearable measurement devices, or providing annual report subscriptions to reduce the cost of purchasing devices for users, such as including 2-minute electrocardiogram, Flexible subscription package including 7-day cardiovascular health assessment, exercise cardiovascular health assessment, sleep health assessment report, etc Group cardiovascular monitoring system solution creates a many-to-many real-time physiological information monitoring platform to replace diagnosis with prevention In addition to providing individual users with remote mobile physiological data measurement, the BEATINFO cloud platform provides a "group cardiovascular monitoring system" solution that can create many-to-many real-time physiological information monitoring through network technology Based on the platform, patients only need to wear a lightweight monitoring patch, and the back-end system can grasp the changes in their physiological information, so that prevention can replace diagnosis and reduce the chance of sudden cardiovascular death This platform provides 3 functions, including the ability to manage different users into groups and hierarchically, and the number of users can reach tens of thousands it can display users’ basic physiological information in real time on web tools, and can be used under certain preset conditions When triggered, this platform will immediately send out an alarm historical data can also be reviewed on the platform, which is very suitable for doctors to check the patient's disease progression outside the hospital during consultation For the application of the "Group Cardiovascular Monitoring System" solution, taking high-intensity exercise as an example, such as long-distance running and cycling, mountain climbing activities or traveling abroad, a prior cardiovascular health assessment is required activities, and corresponding evaluation reports This report allows users to share it with doctors, so that participants can make 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performance, and at the same time help golf coaches select and train players The group cardiovascular monitoring system can create a many-to-many real-time physiological information monitoring platform Establish a firm foothold in Taiwan, move towards the US and European markets, and move towards the goal of a data company Faced with the challenges of technology research and development and market promotion, Qiyi Medical Electronics’ automatic identification of electrocardiograms requires a large amount of data for AI calculation development For this reason, Qiyi Medical Electronics must cooperate with hospitals and develop jointly Finish At present, the company has established good cooperative relations with many medical centers and research units, and has overcome these technical bottlenecks one by one In terms of market promotion, Li Weizhong said that the biggest challenge facing Qiyi Medical Electronics is to communicate with the market and let the public understand the differences between competitors' bracelet and watch products and the company's mobile device-electrocardiogram sensor Compared with the common bracelet and watch products on the market that collect electrocardiogram data in a discontinuous manner, it may take a long time to collect discontinuous data before potential cardiovascular problems can be discovered by luck Qiyi Medical Electronics actively promotes electrocardiogram to the public in a continuous manner The competitive functional characteristics of sexual detection data and emphasize that it is a very important means to assist in the detection of many potential diseases, replacing diagnosis with prevention and reducing the occurrence of unnecessary cardiovascular diseases In addition, in terms of business promotion, we also hope to create more opportunities for business matching and new venture capital raising with the assistance of the Corporate Resource Strategy Council Looking to the future, Li Wei and Xu Qiyi Medical Electric Energy will become the last piece of the telemedicine puzzle in the health wearable device-electrocardiogram service Li Weizhong said that in the short term, Qiyi Medical hopes to gain a firm foothold in Taiwan and become a common medical device in everyone's home, just like thermometers and blood pressure monitors The company is also constantly developing new indications Starting from electrocardiogram, coupled with AI and big data, it can deal with more chronic diseases In addition to cardiovascular diseases, we have also successively developed sleep apnea and other more special diseases The applications are aimed at the problems of elderly chronic diseases that modern people are very likely to encounter With a mid- to long-term plan, Qiyi Medical will enter the US and EU markets, become an international company, and continue to aim to become a data company, making good use of the company's long-term collection of data applications to provide services in diverse fields such as new drug development and vaccine development application to create business opportunities and profits 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】瑕疵辨識率達百分百 耐銳利科技獲面板大廠青睞
Defect identification rate reaches 100%, Nairi Technology is favored by major panel manufacturers

On the machine tool production line, there are some slight differences in the first step of assembly Accumulated tolerances will cause the assembly work to be repeated, which is time-consuming and labor-intensive, resulting in shipment delays that will impact the company's reputation Narili Technology Company focuses on the field of smart manufacturing and provides various AI solutions It uses machine learning models to inherit the experience of old masters In the CNC processing machine assembly and casting process, it uses AI to analyze production line data, accurately adjust various data, and improve Production accuracy is 25 This AI production line data analysis system is called "Master 40" by Huang Changding, chairman of Naruili Technology It is the most evolved version of the master plus artificial intelligence It has been used in machine tool processing factories with remarkable results In addition, Nairi Technology used AI defect detection technology to participate in the 2021 AI Rookie Selection Competition of the Industrial Bureau of the Ministry of Economic Affairs, assisting AUO in advanced panel image defect detection, with an accuracy rate of 100, and won the award Assisted panel manufacturer AUO to solve problems with 100 accuracy in defect detectionHuang Changding further explained that during the production of general panels, edges and corners are There may be defects in the corners Although the defects are visible to the naked eye, AOI is often difficult to identify, causing the detection error rate to often exceed 30 Therefore, re-inspection must be carried out with manpower to improve the accuracy rate However, in response to the demand for a small number of diverse products and insufficient manpower, using AI detection is indeed a good method Nairui Technology, founded in 2018, has been able to win the favor of major panel manufacturers with its AI technology in just three years In fact, it has been honed in the field of CNC machine tools for a long time Tang Guowei, general manager of Narili Technology, pointed out that the top three CNC machine tool factories in Taiwan hope to introduce AI into the two production lines of assembly and casting Among them, on the assembly line, in order to maintain the accuracy of assembly, every part of the component is designed Tolerances are designed During assembly, each component is within the tolerance However, the cumulative tolerance still fails the final quality inspection and must be dismantled and reassembled This is not only time-consuming and labor-intensive, but also causes waste "After entering the production line, I realized that some masters have accumulated a lot of experience and are good at adjustment After his adjustment, the accuracy rate has improved a lot and the speed is faster" On the contrary, the new engineers did not Based on experience, it takes a long time to adjust and may not pass the quality inspection The yield rate of Master 40 system has increased significantly from 70 to 95Tang Guowei then said that the original size data set by Master during assembly All were recorded on paper After the information was written, it was stored in the warehouse and sealed No one studied the relationship between the dimensions Narili assists customers in designing the Fu 40 system Through the human-machine panel, the master can directly input the measured dimensions and related data during assembly After collecting data from different masters, AI algorithms are used to analyze the relationship between the data and create an AI model The AI model automatically notifies the operator what size to adjust to, and the quality inspection will definitely pass In this way, the yield rate will be improved It has increased significantly from 70 to more than 95 Narili Technology Company focuses on the field of smart manufacturing and provides various AI solutionsTang Guowei added, assembling the spindle of a CNC processing machine It took four hours In the first step, the machine made measurement errors, including vibration, temperature, speed, etc that were out of range It had to be dismantled and reinstalled, which took another four hours How to adjust after disassembly depends on the experience of the master At first, the master may have done the best assembly method based on experience, but the error rate was also 30, and the assembly took several days With the assistance of AI masters, the assembly time only takes half a day, and the yield rate reaches over 95, saving a lot of time and manpower "Use the AI model of machine learning to collect the experience of all the masters and provide it for AI learning The first step is digitalization, and the second step is knowledgeization This is the transformation of the enterprise "An important key", Huang Changding believes that Narili Technology is an important partner in the transformation of traditional manufacturing from automated production to digital transformation In addition, another industry that Naili Technology focuses on is the smart car dispatching system of the leading brand of elevator manufacturers The so-called car dispatch referring to the elevator car means that if there are more than two elevators, group management is required In the past, car dispatching was based on fixed rules If the elevator was closer to the requested car, that elevator would be automatically dispatched On the one hand, it did not take into account that dispatching a car if the elevator was called too many times might make other people wait longer The previous vehicle dispatching model did not take into account the usage characteristics of the building, resulting in a lot of waste For example, in an office building, there are peak hours in the morning, lunch break, and afternoon after work AI smart car dispatch can be flexibly adjusted according to off-peak and peak hours, increasing the efficiency of car dispatch, reducing waiting time, and reducing wasted electricity Introducing elevator smart dispatch to improve transportation efficiency and have environmental protection functionsHuang Changding added that just like the previous traffic lights at intersections, the system has already The number of seconds to stop and pass on highways, sub-trunks and small streets is programmed Smart traffic lights are now used to flexibly adjust waiting times to make road sections prone to congestion smoother Using AI to learn usage scenarios and introducing a smart dispatch system into elevators will improve transportation efficiency and make it more environmentally friendly In addition to introducing smart elevator dispatching, Nairili also introduced AI into the smart production and shipment scheduling system of elevator factories Elevator factories often cannot accurately estimate the customer's elevator delivery date For example, office buildings or stores must be completed to a certain extent before the elevator can be installed on the construction site If affected by unexpected factors such as delays in the customer's construction period, the elevator factory will often be idle or the schedule will be difficult to arrange Tang Guowei pointed out that generally those who understand the progress of client projects may be from business or engineering, but overall, the accuracy rate of shipments is only about 60, which means that 40 of them will not be shipped as scheduled Therefore, if the shipping schedule can be accurately estimated, the production line can be freed up for emergency orders or other product production needs The AI smart scheduling system will analyze past shipment data, about 20-30 parameters such as climate, distance between the factory and the construction site, and customer credit, and put them into the AI algorithm to accurately predict whether shipments can be made as scheduled goods Huang Changding also specifically stated that the machine learning of Naili Technology is not ordinary machine learning, but also incorporates various calculation methods such as traditional image processing technology and statistics Only by being very familiar with the domain knowledge can we make good products AI models are also where the company’s competitiveness lies He emphasized that the data that general SaaS platforms can process is very limited, and the accuracy rate has increased from 70 to 75 at most Naili’s strength lies in AI algorithms and machine learning, and it must be coupled with in-depth industry knowledge to produce output Good AI model Narili Technology started with the AI project, gradually deepened the technology, chose to start with the more difficult tasks, and accumulated rules of thumb It is expected to develop SaaS services this year 2022, based on customer needs starting point, gradually gaining a foothold and becoming an important partner in smart manufacturing The picture left shows the general manager of Naruili Technology Tang Guowei and Chairman Huang Changding right「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】光禾感知科技智慧球場體驗 AR互動讓看球變得更加有趣
OSENSE Technology Qubby AI customer service helps enterprises comprehensively upgrade from customer service to knowledge management

"What are your business hours" "What are the functions and features of the product" "What discounts are available now" "Does the product have a warranty" "Does the manufacturer cooperate with the product for repair" From the perspective of consumers, every inquiry is a unique customer experience, but from the perspective of companies, 90 or more of these questions are repeatedly asked every day OSENSE Technology's Qubby AI customer service can help companies seize the opportunity to continue to provide high-quality customer services every time they come in contact with customers, and optimize service processes through AI to create an efficient service team Taiwanrsquos first IMSNS virtual human real-time interactive voice AI customer service Qubby AI The information age has caused changes in consumer behavior Companies have deployed online and offline platforms, such as official website apps for their brands, physical stores, distribution channels, and third-party e-commerce, to increase channels for contact with consumers However, this has created a greater workload for customer service personnel, who need to monitor even more channels to provide timely services OSENSE Technology's Qubby AI customer service helps enterprises integrate and manage multiple platforms, such as websites, LINE, Facebook Messenger, WhatsApp, and multimedia interactive machines, with a single account The service supports 29 languages and serves domestic and overseas customers 247, building good relationships by meeting customer needs and creating an endless stream of important and valuable customers Qubby AI customer service features Saves training time, standardized AI response, supports IMSNS, improves customer service efficiency, optimizes the service experience, and the web page is applicable everywhere Efficiently create enterprise-specific AI customer service in 3 steps, eliminating the need for design QA OSENSE Technology has condensed the establishment of Qubby AI customer service into three steps based on its years of experience with domestic and overseas projects and strong technical capabilities, so as to help enterprises build efficient teams The first step is to create an image and personify the corporate image Upload a profile photo, create a realistic or anime-style 3D virtual person, or customize a real person image, transforming the one-way corporate communication model in the past into a two-way interactive service model It not only improves brand favorability among customers, but is also an indispensable part of creating warm services The second step is to select the voice Qubby AI customer service can interact with customers through text, preset QampA, and voice For voice, users can choose the system's preset AI voice, or use AI to clone a real person's voice It supports the conversion of 29 languages, and is like customer service personnel providing services in person, increasing customersrsquo trust in the brand The third step is to 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knowledge, health education information, and common issues of clinics, and was integrated into a convenient and easy-to-use package Companies only need to follow 3 steps Create an image, choose a voice, and build a knowledge base to quickly create an exclusive Qubby AI customer service Qubby AI's diverse applications help enterprises comprehensively upgrade from customer service to knowledge management Qubby AI customer service has been used a wide range of industries, such as the healthcare industry, financial industry, electronics industry, conference and exhibition industry, education industry, department store retail industry, public relations service industry, and celebrities The services range from external product sales, event promotion, and customer service to internal HR assistant, knowledge management, compliance, technical maintenance and applications It has become the most intelligent, efficient, and direct business partner for enterprises In addition to helping optimize 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Taiwanrsquos market, OSENSE Technology is actively expanding into international markets, such as the United States, Japan, and Southeast Asia In January 2024, it has signed a contract with the largest clinic management system developer in Southeast Asia to bring Qubby AI customer service southward, hoping to provide comprehensive AI digital services and solutions to medical institutions and people ofnbsp Southeast Asia, creating better healthcare experiences and expanding the smart healthcare ecosystem AI is ushering in a new industrial revolution According to Gartnerrsquos estimates, there are approximately 17 million customer service personnel working in customer service centers around the world 95 of the cost of a customer service center is from personnel Even if 10 of the service volume is automated, tens of billions of US dollars can be saved every year Based on the 2023 Taiwan Industrial AI Survey released by the Artificial Intelligence Foundation, nearly half of Taiwanrsquos companies still have not used AI services This shows the huge AI business opportunities OSENSE Technology is thus actively seeking distributors and agents to jointly expand domestic and overseas markets