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【2021 Solutions】 Customized AI Models: Jia Heng Technology Helps Clients Accelerate AI Application

After the COVID-19 pandemic, the push for digital transformation using digital tools has accelerated across all industries. However, for business owners, the question arises: Is it worth implementing AI? What benefits does it bring to the company? In fact, there are many AutoML platforms currently available that help businesses speed up the introduction of AI and build AI models, simplifying the adoption of AI for companies.

Businesses face significant challenges in adopting AI, and automated machine learning platforms offer solutions

Jia Heng Technology's General Manager Liang Baifeng stated that businesses face challenges such as scarcity of talent, data handling, timing of modeling, integration with production, technology mastery, and cost efficiency when adopting AI. Nevertheless, not every process needs to incorporate AI technology. What businesses need are AI custom solutions that meet business requirements. Thus, AutoML is a core tool for businesses applying AI technology. Previously, to build 100 AI models, 100 modeling experts were needed. With AutoML, only a few data scientists are required to build 100 models. Once AI models are established, they can be integrated into business production processes. Thus, complex application scenarios can be addressed through highly customized modeling to meet client demands.

In the process of enterprise AI adoption, it used to rely heavily on AI experts, but in the future, it will be driven by industry experts, focusing on solving real business application scenarios as the key to success. Liang Baifeng thinks there are four key phases:

One, Scenario Selection: Deciding whether machine learning is the right approach for solving the problem.

Two, Data Preparation: Data is just material. Choosing the 'right' and 'effective' data is crucial.

Three, Model Building: Focus on the efficiency of model design, a combination of multiple models is necessary to solve problems.

Four, Production Integration: The model meets the restrictions of production while maintaining flexibility based on production conditions. To address the issues of diverse business scenarios, high implementation hurdles, long cycle times, and high costs faced by traditional AI model design, it is essential to utilize AutoML technology to create an automated platform, effectively resolving the developmental and implementation challenges of AI.

DarwinML's Four Core Technologies help enterprises start from scratch in model design

Developed by Jia Heng Technology, DarwinML is an AutoML platform for designing AI machine learning models based on genetic evolution theory. DarwinML uses an evolutionary approach to automatically design and optimize machine learning and deep learning models, featuring excellent capabilities in model generation and hyperparameter optimization, starting from 'zero' to design models automatically.

The four core technologies of DarwinML are described as follows:

One, Model Gene Bank: Collects a large number of algorithms and basic modules that can be applied to Deep Learning, Machine Learning, and Data Feature Extraction.

Two, Auto-evolution Algorithm: Utilizes genetic algorithms, model interpretative statistical methods, and reinforcement learning techniques. In the continuous model evolution, it enhances model quality.

Three, Complete Model Lifecycle Management: Uses DarwinML and Darwin Inference to build a closed ecosystem for model generation, use, and re-optimization.

Four, Multi-node Parallel Computing: Capable of running accelerated computing on multi-nodes based on CPU or GPU, and can be deployed in an enterprise's private cloud to ensure data security and model sensitivity.

DarwinML significantly shortens the modeling time, and efficiency is markedly improved

In the traditional model design process, originally from data feature extraction, model design, model training to parameter adjustment, it took AI engineers 3-6 months to manually model. However, using DarwinML for automatic modeling can shorten it to 3-7 days, significantly reducing time and markedly improving efficiency. DarwinML can automatically generate models and rule sets based on objectives, with modules possessing self-evolving capabilities. Its core technologies include machine/deep learning/model gene banks, model evolutionary design algorithms, and big data parallel computing technology, among others, yielding significant benefits such as:

One, Data organization, data labeling, and data cleaning are semi-automated, reducing dependency on the workload and volume of labels by 40%.

Two, Machine learning modeling time is reduced to minutes, with a modeling capacity 5%-10% higher than traditional modeling.

Three, Deep learning modeling time is reduced to hours, achieving a standard consistent with the industry's best models but more straightforward and faster.

(This article is organized from selected content of the 'AI Engineering Online Meetup')

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

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【解決方案】7毫秒內分離人聲 洞見未來科技協助聽損者「聽說更簡單」
Voice Separation in 7 Milliseconds: RelaJet's Future Technology Makes 'Hearing and Speaking Easier' for the Hearing Impaired

One rainy Thursday afternoon near Taipei Arena, the Taipei Experience Center of RelaJet was fully booked with appointments from people with hearing loss eager to try hearing aids made with a voice separation engine For the hearing impaired, having affordable, lightweight, and effective noise-reducing hearing aids is truly a blessing 'We hope to help users in need to hear the world's wonders again' This empathetic expectation by RelaJet's founder and CEO Po-Ju Chen, who is also hearing impaired, illustrates his understanding of the needs of the hearing impaired He hopes that RelaJet's unique voice amplification hearing aid technology will benefit many more people Affordable hearing aids benefit many with hearing loss Founded in 2018 by Po-Ju Chen and his brother Yu-Ren Chen, RelaJet developed a multi-voice separation engine paired with Qualcomm's Bluetooth audio platform, drastically reducing the price of imported hearing aids, typically costing 80,000-100,000 NT dollars, to just under 10,000 NT dollars They aim to develop affordable goods with excellent noise-cancelling capabilities that wirelessly connect to smartphones In its first two years, the company primarily developed the multi-voice separation engine, which significantly improved the noise reduction quality Once equipped with Qualcomm Bluetooth earphone chips, the audio processing time is drastically short, at about 7 milliseconds to enhance main voice projection and reduce ambient noise, less than half the time required by traditional medical standard of 16 milliseconds for hearing aids, nearly 'zero-delay' 洞見未來科技推出平價助輔聽器,大大嘉惠聽損者 Yu-Ren Chen explains that the primary use of Qualcomm chips for edge computing, along with a streamlined algorithm, achieves extremely low latency and better noise reduction The hearing aids can cover 18 channels, whereas traditional hearing aids cover 4-48 channels In the future, RelaJet will progressively increase the number of channels According to statistics, there are 470 million people globally with hearing disabilities, with a 30 average device use rate in developed countries, with the highest in Western countries Taiwan has nearly 15 million people with disabling hearing loss, of which the middle-aged and elderly make up 30, yet the device use rate is only about 10, which is quite low Yu-Ren Chen further analyzes that the low device usage rate is due to two reasons firstly, the high average selling price of international big brands ranges from 80,000 to 200,000 NT dollars with a three-year usability period, which deters many due to the high cost and maintenance Secondly, in noisy environments, the noise is also amplified which does not necessarily ensure clarity for the users, and the sound parameters can't be adjusted in real-time, making it inconvenient to frequently visit stores for tuning Thirdly, most models cannot connect to smartphones, making it inconvenient for the hearing impaired to take phone calls Utilizing Qualcomm Bluetooth chips for rapid product development In light of this, Po-Ju Chen, formerly a semiconductor engineer at MediaTek, leads the technical development, while Yu-Ren Chen, with a legal background, manages the operations Their seamless collaboration, along with their team employing AI algorithms and chip integration, learns from thousands of hours of audio files in databases through neural networks and deep learning technologies to develop low-latency, high-noise-reduction voice amplification technologies for hearing aids In 2019, this sound processing technology was integrated into Qualcomm Bluetooth chips, winning first place in the Qualcomm Taiwan Startup Competition and becoming a partner in Qualcomm's Global Expansion Program, significantly boosting product development pace In 2021, they launched their own Otoadd series of hearingenhancement products in Taiwan, which received both market favor and positive reviews from many with hearing loss Based on different consumer needs, various product designs are available According to Yu-Ren Chen, the Otoadd wireless earphones with hearing enhancement functions, model N1, are entry-level neckband style priced at 9,500 NT per pair Users can wear the hearing aid while taking calls, and control noise reduction strength and volume through a mobile app They plan to develop accessories in the future tailored to the needs of older adults Besides being available for trials at experience centers in Taipei and Kaohsiung, this hearing aid is also sold through PChome, Taiwan Mobile's myfone, and Elder Age networks, among other channels Another model intended for individuals with mild to severe hearing loss is the Classic R hearing aid, which received the Japanese Good Design Award in 2021 Since its market debut last year, it has attracted those with congenital hearing loss, with users noting improved clarity in noisy environments and appreciating the convenience of Bluetooth connectivity for calls and watching videos This product is anticipated to be exported to international markets in the latter half of this year Additionally, a hearing aid product combining Bluetooth functionality, set to launch in June this year, is sized like typical Bluetooth earphones, targeting visually conscious consumers with hearing loss Its small size and attractive wireless earphone design allow for phone calls, and if approved by the Ministry of Health and Welfare, eligible users can apply for government subsidies RelaJet to expand into overseas markets, using the USA as a beachhead An interesting question arises due to the pandemic everyone must wear masks which impedes lip-reading How does this affect those with hearing loss Yu-Ren Chen indicates that this situation highlights RelaJet's advantages As each person with hearing loss has different levels of hearing ability, hearing aids can only augment to an appropriate volume, assisting users to hear about 60-70 content, with the remainder relying on lip reading and gestures During the pandemic, as everyone wears masks, masks also muffle sounds, but RelaJet's voice separation engine can correct and strengthen the separation, making it easier for those with hearing loss to recognize voices Besides the Taiwan market, RelaJet's next stage will be expanding into overseas markets, expecting to obtain ISO 13485 medical device quality management system certification and US medical device approval in 2022 They plan to enter the US market, either under their own brand or through OEM arrangements Apart from the Taiwan market, RelaJet will also enter the US market in the next phase for hearing aids「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】輔人科技透過智慧感知床墊 心領神會 讓照護長輩變得有溫度
Furen Technology uses smart sensing mattresses to understand and make caring for the elders warm.

Taiwan is moving towards an aging society, and the demand for long-term care for seniors has increased significantly The invisible killer of long-term care - the fall of an elder is an unspeakable pain for home caregivers and care institutions How to turn every unexpected crisis into the most immediate and warm care is a true test of the adaptability and innovation of smart care In order to make filial piety easier, Foreaider Technology has launched the intelligent sensing mattress Foreaider-Z, a thoughtful auxiliary device that can prioritize the physiological information of the elders, allowing the elders to live with dignity, make up for the lack of care manpower, improve the quality of care, and reduce the cost of care The fall rate reaches more than 25, effectively saving more than 200,000 yuan in care costs per person per year “To take care of my mother” was the original intention of Furen Technology when it was established in 2018 Luo Yilin, founder and general manager of Furen Technology, said that he has been a caregiver for more than 10 years and recalled that his mother had A patient with severe mental illness spent 20-30 years in a nursing home Because he was reluctant to leave his elderly mother, Luo Yilin decided to shoulder the heavy responsibility of taking care of her In the past, my mother stayed in a nursing home for a long time, which made her unwilling to contact strangers and made her feel insecure about changes in the environment and space This is why Furen Technology "makes filial piety simpler without changing the living environment of the elderly" "Let the elderly live with dignity" as the ultimate goal of the product, we decided to use advanced sensing technology and AI analysis to deliver appropriate care information to caregivers, eliminating the physical and mental torture that caregivers experience when caring for the elderly We look forward to using smart care AI Technology makes interacting with elders easier Elder falls are the most 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core team gathered caregivers, doctors, and senior engineers and other professionals, jointly independently developed the "Smart Sensing Mattress" Foreaider-Z to provide homes and care institutions with more thoughtful and high-quality hardware and software AI smart care solutions Helping people without being too strict and helping people without blame is the founding purpose of Helper Technology, which mainly delivers on two levels The first is to put people first and make caring for the elderly a warm interaction In addition, caregivers should have a selfless dedication mentality It has been observed that the cared for may not be willing to express their own needs due to different reasons If the needs of the elders can be grasped through smart care technology, it will not only bring more dignity and dignity to the elders Space can reduce unnecessary communication misunderstandings, make the care process smoother, and reduce care costs Smart sensing mattress, the caring guardian of the elders, reducing the fall rate by more than 25 In the technological breakthrough of smart sensing mattresses, combined with the physiological micro-motion sensing technology developed by Furen Technology, it uses air pressure changes for physiological sensing and AI algorithms, so that caregivers do not need to replace the original mattress Place the smart sensing mattress with a thickness of less than 1 centimeter under the elder's original mattress, plug it in and connect it to the Internet Wait 3 minutes for the environment parameters to be automatically matched and set, and the pressure on the bed can begin to be accurately detected changes and interpret the actions and behaviors of the elderly For critically ill and long-term care recipients in nursing institutions, as well as the elderly and infants at home, Furen Technology has launched three versions of smart sensing mattresses, including the smart sensing mattress "Lite version", "standard version" and " Pro version" The 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elderly has left the bed or has fallen, effectively reducing the fall rate by more than 25 Through physiological micro-motion sensing technology, it can quickly help caregivers record the elderly's sleep status the previous night, creating a more convenient communication mode and information exchange mechanism between caregivers and family members In addition, the implementation of smart sensing mattresses can help nursing institutions obtain more positive evaluations in the evaluation Furen Technology develops smart sensing mattresses through physiological micro-motion sensing technology Smart sensing mattress voice AI recognition reduces the number of people sent to hospital for aspiration pneumonia to less than 5 of the overall number of cases Optimizing the voice AI recognition establishment mechanism has always been the goal of Furen Technology’s efforts to improve Luo Yilin said that he was very grateful to Furen Technology for having the opportunity to participate in the development plan of AI care services for respiratory diseases under the guidance of the Industrial Bureau and the Information Policy Council painting, and conducted field clinical demonstration at Puli Christian Hospital Through this project, not only the smart sensing mattress uses AI voice recognition and calculation technology to become more sophisticated, but also an AI training optimization framework is established to allow caregivers at Puli Christian Hospital to respond to the elderly’s upper respiratory tract-cough sounds and lower respiratory tract symptoms -The identification and warning performance of heartbeat and respiratory rate changes are more optimized, and the number of people sent to the hospital due to aspiration pneumonia in care institutions is effectively reduced to no more than 5 of the total number of cases in the month It is believed that with the integration of smart sensing mattresses and respiratory disease AI care services, the service is expected to 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like Furen Technology, there are always challenges and learnings in terms of funding, technical issues, obtaining and processing of production materials and parts However, Huangtian pays off its hard work Driven by the ultimate goal of "making filial piety easier", Furen Technology strives to make smart sensing mattresses the first smart care product in Taiwan that uses air pressure sensing physiological information For the original intention of starting a business that emphasizes the orientation of social value, how to make smart sensing mattresses take into account social value while maintaining a win-win and balance of commercial interests is a strategic issue that Luo Yilin must carefully consider when operating the company's products and business development In the face of business layout, Furen Technology will work hard to stabilize operations and marketing operations in the near future to give back to investors and target customers who have supported the company for a long time In addition, Furen Technology is more active in international business development and product testing in Japan, Vietnam and Poland Regarding the mid-term planning, Luo Yilin believes that the care needs and services of the elderly cannot be completed independently by one industry Furen Technology looks forward to cooperating with more like-minded smart care industry players in the future By gathering the professional energy of each industry, we can build a complete Only with a diverse product chain mechanism can we work together to conquer domestic and foreign markets To this end, Luo Yilin hopes that the company can create an integration of the software, hardware and service ecosystem of the long-term care industry and realize its wish to make care simpler Looking forward to the future, Furen Technology will hope to move from long-term care to preventive medicine I believe that if preventive medicine is managed properly, it will definitely make a great contribution to saving the cost of long-term care Luo Yilin said that more importantly, it will help the elderly in their later life Halftime enjoys a more understanding quality of care and a bright and hopeful life Luo Yilin, CEO of Furen Technology「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】AI也懂行銷太米科技個人化推薦服務助時尚電商提升3倍轉換率
AI Understands Marketing?! Tammy Technology's Personalized Recommendation Service Helps Fashion E-commerce Increase Conversion Rates by 3 Times

Having experienced small to medium-sized e-commerce, founders and CEO Zi-Hao Huang and co-founder and COO Yi-Ting Li of Tammy Technology decided to tackle the marketing challenges of all e-commerce personnel using AI technology Focusing on fashion e-commerce, Tammy Technology's personalized recommendation SaaS Software as a Service helps small to medium enterprises tackle the rising costs of marketing and the overwhelming data, enhancing conversion rates and average order value, becoming an invaluable AI assistant in the fashion e-commerce industry Enhancing conversion rates has always been a major challenge for all e-commerce platforms Unlike major players like Google and Facebook who collect browsing history to target interested messages or advertisements, smaller e-commerce businesses lack the resources and manpower to construct data analysis systems or tools Company Position Marketing technology team for small and medium-sized e-commerce utilizing AI to establish automated marketing Established in 2016, Tammy Technology initially aimed to become 'the marketing technology team for small to medium-sized e-commerce,' hoping to resolve challenges of low conversion rates and customer retention through data analysis and personalized recommendation services 'Daniel referring to Zi-Hao Huang and I have both worked in small to medium e-commerce I handled branding, marketing, and design, while he managed backend systems, project management, and development launches, almost everyone was multitasking' Understanding the pain points of e-commerce operators, they decided to help small and medium enterprises by developing automated marketing systems and a personalized recommendation SaaS, aiding those with limited marketing resources Through AI technology, analyze consumer purchase preferences and provide personalized recommendation services By analyzing each consumer's purchase preferences using AI technology and storing their digital footprints in the backend for data analysis, Tammy Technology stands apart from traditional recommendation systems that categorize customers They offer personalized product recommendations based on each individual's style preferences to achieve precise marketing objectives Yi-Ting Li emphasizes that Tammy Technology's personalized recommendation service has two main functions one is to make website personalized recommendations, and the second is to integrate with marketing channels such as email, SMS, and chatbots chatbot to send personalized promotional messages When consumers enter the official website, based on consumer profiles and preferences, different product recommendations can be provided on each page Individual products also have different recommendation systems on different website pages, providing each consumer with a unique shopping experience after entering the site Using deep learning AI technology, Tammy Technology analyzes consumer behaviors at various online shopping touchpoints through various devices, digitalizing all consumer behavioral data to build consumer profiles For example, a consumer with high purchasing frequency designated as VIP, whose preferences for Morandi color schemes, lace materials, high-neck styles, etc, are recorded and tagged When browsing the store's website, the website will recommend corresponding products based on these purchase preference tags for VIP, and can also set customized discounts and pop-up windows, or send personalized messages through mobile SMS, email, etc, ensuring each customer receives discounts that fit their needs At this stage, Tammy Technology's client base includes male and female apparel, shoes, accessories, cosmetics, and other fashion design industries with a strong personalized color Many clients have seen significant results after introducing personalized recommendation services For example, Shu Uemura under the L'Oreal Paris group, specializing in high-performance skin products and trendy makeup products and professional makeup tools, experienced a significant increase in conversion rates by 3 times and a revenue increase of 18 times after adopting Tammy Technology's service Additionally, the well-known apparel business iRoo, after installing a personalized recommendation system on the official website and integrating digital marketing channels like Line and Chatbot, saw the conversion rate rise more than 5 times, with a monthly revenue increase of 21 The pricing model is subscription-based, with large corporations being charged based on specific feature needs The overall effect after customer usage achieves at least a 3 times increase in conversion rate, and an average of 2 times growth in average order value New client base After apparel and cosmetics, pushing into the home decor industry Despite the overall increase in e-commerce sales, the personalized recommendation service has shown impressive results However, due to the pandemic, non-essential fashion industries have been impacted Tammy Technology, which primarily relies on the fashion design industry, saw a decrease in e-commerce performance by about 30 during the pandemic To diversify operational risks, starting from 2022, Tammy Technology expanded its service clientele to include distinctive, quality-type home furniture and living products As for why not expand the client base to 3C products Yi-Ting Li explains, 3C products focus on cost-effectiveness and brand strength, like Apple computers which have a loyal group of fans, making it challenging to sway their purchasing behavior However, apparel, cosmetics, and home decor focus on personalization, style, and taste, like apparel with the fast, short-term 'fast fashion' trends, updating products weekly, and seasonal characteristics, updating personalized recommendations every 3-5 days and cosmetics, including makeup and skincare, which have high customer loyalty and repurchase rates, are most suitable for recommendations and proactive discount messaging Makeup and outfits represent personal taste, thus these two industries can complement each other in personalized recommendations To accelerate the process of integrating businesses with personalized recommendations, it is necessary to establish an SOP,' Yi-Ting Li continued, 'Tammy Technology, by introducing recommendation services in the fashion design industry, has constructed a service process SOP to facilitate rapid successful experience replication, expecting to quickly integrate into the life and home industry in the second half of the year New business model Establishing a new marketing model centered on the consumer Currently, Tammy Technology's client number has exceeded 2000, including globally renowned fashion brands like L'Oreal and BLUE WAY The future focus will remain overseas, aiming for markets like Hong Kong, Singapore, and North America Tammy Technology, with its successful experience of integrating recommendation systems into fashion e-commerce, has gained investors' favor, securing investments from domestic and international accelerators in 2021, raising a total of 70 million New Taiwan dollars, allowing for workforce and scale expansion Future plans include integrating investor resources to establish a new marketing model centered on consumers Tammy Technology co-founder and COO Yi-Ting Li「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」