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【2021 Solutions】 Action Bagel makes AI as simple and efficient as Excel to improve data analysis capabilities

What is AutoML (automated machine learning) and how is it different from ML (traditional data analysis)? It needs further clarification first.

Traditional machine learning must go through data cleaning, data pre-processing, feature engineering, feature selection, algorithm selection, model establishment, model training, parameter adjustment, and then evaluation results to produce model applications. During the process, if there is a problem with the parameters, the algorithm must be re-selected, the model must be re-established, etc., and the process must be repeated hundreds of times. If new information becomes available, all steps must be repeated. Through automated machine learning, the output process of model application only needs to go through the automation of four major steps: data cleaning, feature engineering, data modeling and model evaluation to achieve model application. Even if new data needs to be collected, it can be achieved through Automated machine learning is achieved, saving time and effort.

ML and AutoML Comparison source: Action Bagels Ltd

▲Comparison between ML and AutoML Source: Action Bagel Co., Ltd.

AutoML is a program that can automate the time-consuming and repetitive work in machine learning model development. This allows small and medium-sized enterprises that relatively lack AI talents to create their own customized machine learning models. In recent years, major international companies have rushed into this market, including Cloud AutoML released by Google in 2018, and AutoPilot launched by cloud computing leader AWS in 2019. AutoML has become a standard feature of mainstream learning services, from web-based interfaces to free Program development and workflow visual management, etc., service development is becoming more and more diversified.

MoBagel is a professional team composed of top data scientists, engineers, and product project managers. The team members come from prestigious universities around the world, including Stanford, Berkeley, Oxford, and National Taiwan University in the United States. They also have experience in Selected to participate in Silicon Valley's well-known accelerator 500 Startup, selected to participate in Japan's SoftBank Innovation Program, and also won a name in Nokia's Open Innovation Challenge.

Mobile Bagel Decanter AI platform shortens the analysis project from two months to two days

Mobile specializes in data science and machine learning technology. In 2016, it developed the automated machine learning analysis tool Decanter AI. So far, it has helped more than 100 companies introduce AI into important decisions, and the analysis project has been shortened from two months to Two days. The fields served include retail, telecommunications, manufacturing, finance and other industries.

Lin Yushen, deputy general manager of Action Bagel Co., Ltd., said that Decanter AI makes AI as simple and efficient as Excel, which can improve enterprise data analysis productivity. Users do not need to have in-depth professional knowledge and experience. Through a simple super-operating interface, they can perform automated machine learning for data analysis and prediction.

There are three simple steps to use Decanter AI: Step 1. Organize the data into csv format; Step 2. Upload to DecanterAI to set prediction goals; Step 3. Decanter AI automatically models and obtains prediction results. The deployment method can be in the public cloud or in the private cloud of the enterprise. After the internal data is uploaded, it can be modeled and used.

DecanterAI uses three steps, Simple and convenient

▲DecanterAI uses three steps, simple and convenient

The advantage of AutoML is that it can automatically train a large number of models, adjust parameters, produce the best model, and quickly deploy and import it. After the new coronavirus (COVID-19) epidemic, all walks of life are facing new market changes and must Transform digitally with fast and convenient digital tools.

In recent years, Action Bagel has continued to promote the optimization of the DecanterAI platform and establish industrial data modeling and analysis capabilities, and has produced substantial results. For example, Chunghwa Telecom uses its platform to conduct blind tests on code-carrying customers and perform data analysis to effectively reduce user churn rates and improve customer retention rates. As a leading domestic food manufacturer, due to the expiration date of drinks and the production and sales of the cold chain, it must be fully integrated to reduce inventory and loss problems. After importing the DecanterAI platform, in addition to accurately predicting market demand, it can also accurately predict market demand based on expiration date data. Analyzing production and distribution quantities can also help reduce warehousing and logistics costs.

AutoML industry has diverse and extensive applications and great potential for future development

Action Bagel believes that AutoML has a wide range of industrial applications, including employee turnover prediction, production demand prediction and revenue performance prediction that are troubled by the manufacturing industry; store passenger flow prediction, product replenishment prediction, membership prediction in the smart retail industry Promotional forecasting; customer churn forecasting and potential customer list forecasting in the telecommunications industry; accurate financial marketing, credit card fraud detection and insurance application quick review in the financial industry; and even real estate price forecasting, power outage disaster forecasting, etc. are all helpful. To solve the operating difficulties of the industry and create new business models.

AutoML industrial applications are diverse. Covering manufacturing, retail, finance and other industries. Source: Action Bagel Co., Ltd.

▲AutoML has diverse industrial applications, covering manufacturing, retail, finance and other industries. Source: Action Bagel Co., Ltd.

How much time and preparation does it take to import AutoML? Lin Yushen said that in actual practice, the introduction process of automated machine learning enterprises includes four major stages:

1. Preparation period: Collaborate with enterprises to discuss business pain points, help define analysis propositions, and provide professional data science advice and optimal solutions, lasting about two weeks.

2. Verification period: Use a small-scale pilot project to quickly verify the analysis results to ensure proposition setting, data quality, analysis process, prediction technology, etc., as the basis for subsequent practical application and amplification. It takes three weeks.

3. Introduction period: Support cloud or local product deployment according to enterprise needs. Provide operation and maintenance teaching, Help Center, data analysis consulting, corporate training courses and other product introduction services, which will take more than one month.

4. Application period: Analysis/data teams can execute various AI projects through the product's common interface and implement them quickly. The prediction engine can be connected through the API to develop application modules according to practical scenarios. This is the final stage of application and is time-consuming and can take up to several months.

However, Action Bagel conducts a system integration project process with its SI partners. The SI partners discuss business propositions and provide data sets, and then conduct data health checks and Baseline models. Based on this, Action Bagel provides data diagnosis reports. After confirming the pilot project proposition and producing a demand planning document, the project execution phase begins, with model establishment, optimization and analysis reports provided. System integration with SI industry players, on the one hand, optimizes module development, and on the other hand, uses APIs to connect data sources and output prediction results, import them into the enterprise's field, and effectively solve the propositions faced by enterprises in digital transformation.

Looking forward to the future, Decanter AI platform will continue to develop various AI innovative application services, and cooperate with the upstream, midstream and downstream industries such as enterprise resource planning (ERP), customer relationship management (CRM), business analysis (BI) and e-commerce platforms ( EC) and other partners maximize the benefits of the ecosystem through co-creation, sharing and altruism.

(This article is derived from the selected content of "AI Engineering Online Small Gathering")

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

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【解決案例】神經元科技 動鑑觀顫 以眼為始 最佳智慧醫療輔助者
Neuron Technology, moving and observing, starting with the eyes, the best smart medical assistant

Looking around the world and in Taiwan, the number of patients suffering from vertigo is increasing year by year When faced with vertigo testing, most people will choose to have it diagnosed by a doctor or hospitalized with neuromedical imaging tools such as MRI or CT for interpretation However, this may lead to misdiagnosis of vertigo, overdiagnosis of patients, waste of medical resources, etc, and cannot be effectively traced back The actual condition of the patient's dizziness In order to solve the long-term clinical pain point of vertigo, Neurobit has developed a smart wearable medical device - NeuroSpeed smart glasses and an AI assistance system It provides an AI smart solution for rapid screening of vertigo, assisting doctors in quickly screening more than 80 of brain diseases Efficient detection power with accuracy and sensitivity of over 90 Neuron Technology was founded in 2016 The co-founders include Yang Juncheng, Chen Weicheng, Huang Jinxun and Wang Jingfu The four of them were studying at the National Taiwan University Medical Engineering Institute and the Creative Entrepreneurship Program to jointly offer the "Biomedical Innovation and Commercialization" course Next, let’s embark on the entrepreneurial journey together The core team members of Neuron Technology are mainly composed of cross-field experts in medical engineering, information technology, neurology, patents, business, etc The common entrepreneurial concept is to continuously explore and explore unsolved pain points in medical clinical practice Seeing that patients were suffering from vertigo, Neuron Technology invented and independently developed an efficient and practical wearable smart medical device, NeuroSpeed Smart Glasses, which combines hardware AI-assisted decision-making system software to provide an AI smart solution for rapid dizziness screening Neuron Technology CEO Yang Juncheng said that the proportion of people in Taiwan and the world who suffer from vertigo is very high In Taiwan, as many as 3 of the people about 700,000 suffer from vertigo, while in the United States, about 1,000 people suffer from vertigo Tens of thousands of people go to see a doctor due to vertigo From the data, it can be seen that the vertigo medical care market is quite huge Regarding rapid screening for vertigo diagnosis in the clinic, current rapid screening tools in hospitals mainly use neurological examinations, and most of them are processed through questionnaire-type scales The diagnosis will rely too much on the patient's chief complaint and the doctor's experience judgment, and lacks quantitative indicators, resulting in Misdiagnosis of vertigo and loss of golden treatment time For patients with vertigo who are admitted to the emergency department, medical diagnosis in the past relied heavily on neuromedical imaging tools such as computed tomography CT or magnetic resonance imaging MRI After observation, it was found that the equipment was insufficient In the United States, the number of patients admitted to the emergency department Less than 3 of the population can receive immediate MRI diagnosis, and less than 50 can receive CT diagnosis However, excessive use of CT or MRI diagnosis may lead to overdiagnosis and treatment of patients, and even waste of medical resources In order to help vertigo patients accurately and efficiently screen and triage and reduce over-diagnosis in clinics and emergency rooms, NeuroSpeed Smart Glasses, a wearable smart medical device developed by Neuron Technology, is believed to have a great impact on the overall application of medical resources and patient diagnosis and treatment It is very helpful Yang Juncheng said that if it is not necessary to use MRI to track the diagnosis, this device can be used as a rapid screening test before the existing MRI neuroimaging tools and after the patient is admitted to the hospital, reducing over-diagnosis of patients NeuroSpeed's examination method is to quickly screen for nystagmus to 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second-generation NeuroSpeed product has the function of assisting doctors in analysis and diagnosis, it has been classified as a Class II medical device in the United States and must be certified by the US FDA before it can be sold externally At this stage, this product has completed pre-submission and will be submitted for review after the biocompatibility test is completed It is expected that the second generation NeuroSpeed will successfully obtain US FDA certification next year In terms of actual verification fields, NeuroSpeed has currently cooperated with New Taipei Shuanghe Hospital and Taichung Tzu Chi Hospital for clinical verification Its clinical results have confirmed the classification judgment of central nervous system diseases such as stroke and other vestibular system diseases With the addition of NeuroSpeed Smart glasses are designed to be lightweight and easy to carry, detect quickly and easily, and have the functional characteristics of automatic interpretation They can effectively assist doctors in quickly screening for potential brain disease risks in patients with vertigo Field verification with foreign medical centers mainly involves vertigo patients admitted to the emergency department Physicians can use NeuroSpeed smart devices to interpret the phenomenon of stroke diagnosis Currently, the accuracy of clinical trials in the above-mentioned cooperative hospitals reaches 80 and the sensitivity reaches 90 Neuron Technology develops smart wearable medical device NeuroSpeed smart glasses In addition to becoming the best smart medical assistant for doctors to quickly screen brain disease risks in the clinic and emergency department, NeuroSpeed smart glasses also assist doctors in the detection and assessment of strabismus risk They are jointly developed with the Tri-Service General Hospital through neuron technology The "Portable Strabismus and Abnormal Eye Movement Diagnosis System" is implemented in the Tri-Service General Hospital, providing doctors with a complete preoperative assessment of strabismus and postoperative tracking basis This excellent RD technology achievement was recognized by the 17th National Innovation Award-Clinical Innovation Award in 2020 We know that many diseases can cause congenital or acquired eye movement abnormalities, and even cause symptoms of strabismus or nystagmus Among them, as for strabismus, according to expert physician consultation surveys, the global prevalence of strabismus among school-age children is 2 5, while the prevalence of strabismus among school-age children in Taiwan is about 1 to 4 Yang Juncheng said that clinical diagnosis of the symptoms of these diseases is mainly divided into two categories deviation measurement of eye position and eye movement test It has been observed that there is currently a lack of objective quantitative methods for diagnosing eyeball position deviation, and eyeball deviation measuring instruments are used to check subjectively For Neuron Technology, the current NeuroSpeed instrument and strabismus and abnormal eye movement diagnosis system software can integrate objective and clear eyeball images, eye muscle function and eye deviation angle data as a rapid test that meets clinical diagnostic criteria Service, the data of these tests can be used as the basis for doctors’ complete preoperative assessment and postoperative tracking of strabismus Therefore, this system can provide objective and effective quantitative analysis, which can greatly reduce the medical risks of patients during surgery In terms of business model, Neuron Technology mainly cooperates with hospitals to sell research-based products It is believed that the company expects to have significant revenue performance after passing the FDA next year At present, Neuron Technology will use the country's first wearable smart medical device NeuroSpeed smart glasses and AI assistance system to provide software and hardware integrated solutions to assist doctors in quickly screening brain diseases and eye diseases, extending patients' golden treatment time and reducing social risks health care costs to create a triple win NeuroSpeed smart glasses assist doctors in quickly screening brain and eye diseases Looking at the world, the pioneer of smart medical equipment, a new paradigm of biomedical software and hardware system integration In the early days of Neuron Technology’s entrepreneurship, technology research and development and business expansion faced many challenges Yang Juncheng expressed his sentiments that since the NeuroSpeed product is the first medical smart glasses developed in China, both in terms of obtaining hardware raw materials and developing technical specifications, The challenges associated with building and integrating related systems are higher than those for consumer electronics Additionally, bringing together cross-disciplinary talent and integrating it into a core team is also an entrepreneurial challenge In terms of business development, although the company has accumulated clinical verification results and published related outputs, the establishment of market channels still requires continuous efforts to expand It is hoped that it can continue to rely on the assistance of legal persons such as the Capital Strategy Council to actively create more diversified market channels and connect potential Cooperating manufacturers In order to accelerate international expansion and market operation exchanges, the company will conduct a new round of fundraising planning at this stage to meet development Since its establishment, Neuron Technology has taken long-term development and stable profits as its operating goals Yang Juncheng said that in addition to focusing on existing professional fields, we also develop and apply value-added products through the company's software development and software development The accumulated RD energy of hard integration is expanded to other medical disciplines and fields Yang Juncheng hopes that Neuron Technology can become a pioneer in smart medical equipment, with research and development oriented to meet the needs of users and patients, and also hopes to become a model for the integration of biomedical software and hardware systems For the medium and long-term layout, the company will promote industry-university exchanges and cultivate biomedical talents integrate upstream and downstream industry resources to create smart medical solutions and platforms and actively explore foreign sales markets such as the United States and Europe as a basis for sustainable development of the company Vision 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

這是一張圖片。 This is a picture.
Make Meeting Records Efficient and Time-Saving with DeepWave's Smart Meeting Ink AI

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【解決方案】聲麥無線推出殺手級5G即時AI語音翻譯 降低5成口譯成本
VM-Fi launches killer 5G real-time AI voice translator that reduces interpretation costs by 50%

With "Voice as a Service VaaS", VM-Fi Inc launched the world's leading 5G real-time AI voice translation service "VM-Fi," providing AI real-time translation subtitles TranSpeech and AI multi-lingual smart counter TransDisplay The service is applied to real-time translation services in diverse fields, such as international exhibitions, tourism industry, and retail stores The translation service can be quickly set up in 15 minutes, which can significantly reduce the customer's interpretation service cost by 50, creating benefits in terms of time and labor costs This killer application is a product launched by VM-Fi, which has been established for three years It can significantly reduce the cost of interpretation by half It successfully entered the Japanese market and is highly popular among consumers TranSpeech real-time subtitles for speeches and TransDisplay smart counter AI service solution For organizers of international forums and exhibitions, paying high interpretation fees has 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understand contents shared by the speaker in real time The operation method is also very simple Audiences do not need to download the APP All they need to do is open the Youtube or Facebook live broadcast platforms provided by the organizer The real-time subtitle solution not only saves customers the trouble of translation work, but also allows online listeners to enjoy seamless real-time translation services without any worries Real-time subtitles provide audiences with seamless real-time translation service In addition, the smart counter solution TransDisplay launched by VM-Fi in Japan is also very popular among consumers VM-Fi stated that Japan has a large elderly population and a large number of tourists Especially during the pandemic, most consumers wore masks and there was often a gap in communication The smart counter directly converts the communication between two parties from voice to text and displays on the transparent partition, providing the most considerate service that the public can clearly see at a glance In the future, VM-Fi will work with Taiwanese panel manufacturers, integrating software and hardware to provide voice-to-real-time subtitle translation services in Japanrsquos shopping malls, stations, airports, and government agencies Smart counters provided people with friendly communication services during the pandemic User experience is the key to VM-Fi taking root in the Japanese market Facing the explosive growth of cross-border tourism business opportunities after the pandemic, VM-Fi is confident in business expansion VM-Fi stated that the VM-Fi 5G real-time AI voice translation service has demonstrated excellent product and service resilience during the pandemic, and can flexibly meet customer needs for various physical or online services VM-Fi plans to establish a headquarters in Japan before April 2025, and actively cooperates with Kansai and Kyoto prefectural and municipal governments to expand its operations After establishing a solid foundation in the Japanese market, the EU market will be the next important target VM-Fi participated in fundraising activities of the AI Founders Alliance of the AI Program of the Industrial Development Bureau, Ministry of Economic Affairs The company relied on the assistance of the Institute for Information Technology III, Taiwan-Japan Industrial Collaboration Promotion Office TJPO, and the Japan External Trade Organization JETRO to actively seize Japan's market "Japan's market not only values digital transformation, but also user experience UX" Therefore, after the successful launch in Japan, everything will fall into place when it expands to other markets around the world VM-Fi app in Japan's shopping malls, stations, airports, and government agencies VM-Fi is a startup with passion and innovative spirit nbspfounded in 2020 We focus on AI speech recognition and real-time translation technologies, and are committed to allowing people around the world to enjoy high-speed speech translation during international speeches, at service counters, and during communication, completely removing the language barrier and allowing everyone to enjoy equal rights to information VM-Fi's AI service is not only a technological innovation, but also a commitment to global sustainable development A Digital solutions We are committed to reducing paper use Every sheet of A4 paper saved reduces carbon emissions by 78 grams, using practical digital solutions to promote environmental protection B Renewable energy decisions We choose cloud services that use renewable energy and plan to achieve the goal of using cloud services that use 100 renewable energy by 2025, in order to create a greener technology foundation for the future C Water saving decisions We are committed to using cloud services that achieve positive water benefits before 2030, ensuring that the replenishment of water resources exceeds consumption, and contributing to the future of the Earth D Net zero emission decisions When using new data centers, we will choose net-zero deforestation to protect the natural environment E Sustainable development goals Through the decisions above, we are making active efforts to achieve the United Nations Sustainable Development Goals SDGs 4, 7, 9, 10, 11, and 13, exerting every effort to create a better world VM-Fi's vision is to create a world without communication barriers, allowing everyone to communicate freely and jointly move toward a better future Let us work together to contribute to global communication equality and sustainable development, and create a greener and better future nbsp