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【2021 Application Example】 Hamastar Technology Builds an AI Model Management Platform to Accelerate the Application of AI

Riding the AI hype train, financial service providers are using their solid foundation in the industry to not only transform themselves, but also assist their customers with transformation!

Hamastar Technology, which has been established for over two decades, has been developing AI technology and assisting industry customers with the implementation of AI in recent years. Hamastar Technology believes that to implement a complete AI project, in addition to AI theoretical knowledge, data analysis, and model training capabilities, it is also necessary to develop APIs for data, establish databases, develop front-end RWD web pages, and even consider layout design and user experience based on customer needs. These tasks create technical barriers for AI startups. Even from the perspective of companies that have reached a certain scale, it is hard to accumulate technical experience and accelerate business growth due repeatedly investing manpower developing similar functions in each project.

Institutional customers still require high level of customization for AI

Using the requirements of government Agency A implemented by Hamastar Technology as an example, users must control false information from specific channels. The platform needs to provide data ingestion functions for training models and predictions, and can complete natural language processing (NLP) text classification model training and use. When the model discovers false information, it needs to immediately notify responsible personnel through messaging software. The need of Agency B is to use an AI model to automatically classify petitions and immediately provide information on past cases as reference for the petitioner or officer. Although the project models are similar (data ingestion, model prediction, warning / notification), the required functions still need to be separately developed for individual projects, and existing programs and models cannot be reused to speed up the implementation of subsequent projects.

After in-depth discussion, Hamastar Technology found that pain points of enterprises implementing AI projects include high implementation costs and lengthy project schedules. It is difficult for a single enterprise to simultaneously have data scientists, analysts, engineers, and designers. Current projects are all focused on solving the needs of specific fields, and it is difficult to reuse the AI models in other fields of application. At the same time, the tools are concentrated in AI projects and cannot provide customers with total solutions.

In other words, due to the "limited manpower," "restricted fields," and "insufficient tools" of AI service providers, the implementation of AI technology projects requires high costs or lengthy timelines. These are common problems that companies urgently need to solve. Therefore, if there is an AI model application service management platform, it will be able to solve the above difficulties and not only reduce costs, but also accelerate project implementation and provide customers with one-stop solutions.

AI model application service management platform assists in quickly completing projects

Therefore, with the support of the AI project of the Industrial Development Bureau, Ministry of Economic Affairs, Hamastar Technology carried out the "AI Model Application Service Management Platform (AISP) R&D Project" and engaged in the R&D of AISP products. The purpose is for AI service providers to complete the AI projects with twice the result using only half the effort.

The AI Model Application Service Management Platform offers AI-specific problem-solving solutions.

▲The AISP provides one-stop AI solutions

AI service providers can quickly assemble required functions, such as data API, model management, and model prediction result monitoring / subscription through existing module functions of the AISP. It also provides commonly used graphical tools to help companies quickly design interactive charts or dashboards required by users, effectively reducing the labor costs required to execute projects, shortening the solution POC or implementation time, and accelerating the implementation and diffusion of industry AI.

In terms of product business model, in the short term, the company will extensively invite IT service providers with expertise in the field of AI to work together, and use platform services to solve the AI implementation problems faced by requesting units in various field, gradually building trust in the platform brand. In the mid-term, the company hopes to gradually expand the market based on its past success, and form strategic alliances with multiple IT service providers to solve more and wider problems in specialized fields and provide more solutions for units to choose from.

The platform combines field experts to jointly expand overseas markets

In the long term, after establishing AI strategic alliances in various specialized fields, the platform will have a large number of AI solution experts for specialized fields. After accumulating a large amount of successful project experience, Hamastar Technology hopes that the AISP will be able to work with experts / companies to expand into the international market.

Harmastar Technology Co., Ltd. was formed in 2000 by recruiting numerous senior professional managers and technical experts in related fields. It is committed to software technology R&D and services, and aims to develop into an international software company, actively creating opportunities for international cooperation in the industry. Under the excellent leadership of its first president, the company has rapidly grown into a major software company in Taiwan.

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【導入案例】化身大型AIOT科技遊樂場 海科館華麗轉身好吸睛
Transforming into a Large-Scale AIoT Technology Playground: The Spectacular Makeover of the National Museum of Marine Science & Technology

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【解決方案】連聯合國都買單 悠由數據應用運用農業數據搶攻全球商機
Even the United Nations is on board! Yoyo Data Application captures global business opportunities with agricultural data

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【導入案例】防患於未然 麗臺科技研發心臟衰竭AI辨識技術可及早發現病徵
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mobile APP and observing the risk of heart failure, engaging in exercise and rehabilitation training to aid in swift recovery The heart failure AI recognition technology system can also be extended to employee home care applications Additionally, in factories or offices, this system can also achieve employee health management goals, with applications including One, workplace safety units Provide employees with wearable electrocardiogram recorders before they start work duties Two, physiological monitoring for business executors While executing business duties or training, employees wear wearable electrocardiogram recorders for fatigue warnings, signaling whether physiological conditions allow continued execution of tasks Task segments can use data transmission boxes or apps to upload physiological monitoring information to the health management platform, assessing the heart failure risk for operations staff, with test data serving as an indicator for enterprise resource human units and public safety Three, workplace physiological monitoring center care The workplace physiological monitoring center can inspect and record employees' historicalphysiological trends through the health cloud platform Four, workplace nursing units Nursing units receiving instructions from the physiological monitoring center can provide health management advice based on employees' physiological trends nursing centers can manage employee health through the health management backend Web Five, employees can wear health bracelets to monitor activity, fatigue, circulation, and sleep, autonomously managing their health and observing the risk of heart failure through the mobile APP, engaging in exercise and rehabilitation training to aid in rapid recovery Workplace application of heart failure cloud care and big data center diagram「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」