2025-03-25

Generative AI Applications - Case Studies

Introduction As Large Language Models (LLMs) become a pivotal driving force in digital transformation, supportive policies by the Taiwanese government have accelerated the deployment of innovative solutions. Utilizing Retrieval-Augmented Generation (RAG) technology, LLMs can instantly retrieve information from internal databases and external literature, significantly enhancing the accuracy and reliability of content generation. Furthermore, multimodal model integration enables AI to handle diverse data formats, including text, tables, and images, thereby expanding application potential. Through cross-institutional collaboration, Industrial Technology Research Institute (ITRI) has successfully developed numerous advanced technologies, such as regulatory compliance reviews and intelligent document management systems. These systems automatically analyze document content, provide accurate compliance recommendations, and ensure that document format and content meet standardized requirements, significantly enhancing document generation quality and management efficiency. Generative AI (GAI) technologies have also been widely applied in medical education and drug discovery. For instance, in medical training, GAI can simulate standardized patients, creating highly realistic digital teaching platforms that enhance clinical training outcomes. These advancements streamline regulatory reviews and research processes, substantially reducing costs as well as expanding globally into diverse innovative applications, thus providing tangible benefits and enhancing industry competitiveness. Case Studies 1. Automated Report Generation - Regulatory Compliance Review Management As global financial regulations become increasingly stringent, Generative AI (GAI) has become essential for enhancing compliance reviews and risk management efficiency. Leveraging Retrieval-Augmented Generation (RAG) technology, GAI swiftly extracts critical information from internal databases and external regulatory documents, accurately interprets complex financial regulations, terms, and contract contents, and rapidly summarizes key points and performs risk assessments. Multimodal AI models further broaden the applicability by processing various financial documents, tables, and images simultaneously, generating precise recommendations compliant with regulatory requirements, thus markedly improving document quality and operational efficiency. Based on this technology, Industrial Technology Research Institute’s (ITRI) Information and Communications Research Laboratories developed an end-to-end (E2E) intelligent contract management solution that integrates AI into audit workflows. Coupled with anomaly detection techniques, the system automatically identifies potential risks in financial statements and transaction records, greatly enhancing audit accuracy and operational efficiency. Additionally, the real-time regulatory monitoring system encompasses key functions such as regulatory data collection, clause analysis, compliance checking, risk identification and improvement recommendations, and regulatory update monitoring, enabling financial institutions and supply chain partners to swiftly adapt to regulatory changes and minimize compliance risks. This technology has successfully shortened contract drafting and review times, reducing legal resource requirements by over 50% and contract processing time by over 40%, and has been adopted by several major financial institutions. The implementation of this technology significantly improves regulatory review efficiency, reduces compliance costs, and further strengthens audit accuracy and operational effectiveness, enabling financial institutions and large corporations to maintain strong competitiveness in global markets while driving digital and intelligent transformation of compliance management. Caption: Compliance Review Management 2. Digital Medical Education - Standardized Patient Simulation With the rapid advancement of digital medical education, digital dental education systems employ simulated clinical scenarios, intelligent Q&A modules, and learning outcome analysis to provide comprehensive and efficient training for dental students and healthcare professionals. The system integrates standardized patient (SP) interactive technology with voice-enabled Q&A functions, allowing students to practice consultation skills in highly realistic clinical scenarios, improving clinical responsiveness and diagnostic decision-making quality. The core of this system employs Large Language Models (LLMs) capable of intelligently matching students' consultation dialogues with standardized patient responses, combined with digital medical records, to provide personalized learning recommendations that strengthen clinical knowledge and diagnostic reasoning skills. Furthermore, the platform developed by Industrial Technology Research Institute’s (ITRI) Information and Communications Research Laboratories can automatically generate detailed learning reports, highlighting gaps during consultations and analyzing diagnostic recommendations. It also supports highly realistic clinical simulations, including dental implant planning and 3D tooth arrangement analysis, significantly enhancing students' clinical operational abilities. Students can log into the system using personal accounts for examinations and simulation exercises, where AI provides real-time answer validation, performance assessments, and personalized improvement recommendations, effectively enhancing professional skills and clinical decision-making. Clinical testing and user interviews reveal system satisfaction ratings as high as 8 out of 10, and it has already been successfully deployed in three hospitals in Taiwan with support from ITRI’s Biomedical Technology and Device Research Laboratories. Additionally, discussions are underway with Stanford Medical School to further advance digital medical education globally and expand into broader medical training fields. In the future, this technology will enhance dental and medical education while simultaneously being adaptable to professional communication training across various industries—including customer service, demand exploration, and business communication. It offers efficient and intelligent learning solutions, further accelerating the integration of digital education with AI technologies. Caption: Illustration of Digital Medical Education Conclusion The application of Generative AI technologies has successfully expanded across various sectors, demonstrating strong capabilities in data processing and innovation from regulatory compliance management to medical education. AI adoption enables enterprises to streamline processes, reduce costs, and enhance market competitiveness. With continuous technological advancements, generative AI is expected to expand, bringing greater added value to multiple industries and accelerating global digital and intelligent transformation.

2025-01-23

Taiwan's AI Development Trends and Future Prospects

Foreword As digitalization sweeps across the globe, artificial intelligence (AI) has emerged as a key force in reshaping society and industries. The rapid advancement of AI is redefining human life and business models, with applications extending to autonomous driving, precision medicine, smart manufacturing, and fintech. Taiwan, as a critical hub for the global technology industry, boasts a robust semiconductor supply chain, a highly flexible and agile manufacturing sector, and a growing pool of AI talent, creating a unique environment for the implementation of AI technologies. However, intensifying global competition and rapid technological advancements compel Taiwanese enterprises and the government to seek breakthroughs in innovation and practical applications, turning AI's potential into new momentum for industrial upgrades and economic growth. New Opportunities in AI Applications The application of AI technology not only revitalizes traditional industries but also fosters entirely new business models. In the realm of edge computing, the proliferation of IoT devices and the growing need for low-latency, high-privacy computing are driving edge intelligence to gradually replace certain functions of cloud computing and become the foundation for next-generation smart applications. Through the design and implementation of high-performance chips, such as system-on-chip microprocessors (MCUs) integrating neural network processing units (NPUs), businesses can perform data analysis and inference locally, reducing dependence on the cloud. These technologies have been widely applied in smart sensors, smart appliances, and smart manufacturing equipment, enhancing product efficiency and economic value. Generative AI is driving a new wave of transformation. With breakthroughs in natural language processing and image generation, it is widely used in creative design, content generation, and marketing promotion. For instance, by leveraging large language models (LLMs), businesses can efficiently generate customized marketing content and even create new digital products. In healthcare, AI technologies analyze vast amounts of clinical data and patient histories through deep learning, enabling more accurate diagnoses and treatment plans, further advancing the field of precision medicine. CES 2025 showcases cutting-edge AI advancements in smart mobility, smart living, and edge computing. For instance, Toyota demonstrated how AI enables two autonomous vehicles to perform synchronized drifting, avoiding collisions while competing in close proximity. Similarly, at CES 2025, Taiwan's Industrial Technology Research Institute (ITRI) unveiled the AI Badminton Coach that integrates generative AI to rapidly assess skills and customize training plans, empowering individuals to excel in the sport. This innovation won the TWICE Picks Award from the official media of CTA, the event organizer. Trends and Future Directions of AI Development in Taiwan The development of AI in Taiwan can be summarized into three dimensions: technological innovation, diversified applications, and ecosystem refinement. Technological Innovation: Taiwan's semiconductor-driven technological advantages serve as a robust foundation for AI research and development. By developing low-power, high-performance AI-specific chips, Taiwanese companies continue to strengthen their competitiveness in the global market. Meanwhile, advancements in generative AI and edge intelligence will drive more efficient integration of algorithms and hardware, enabling broader AI applications. Diversified Applications: Expanding AI applications injects new momentum into industries, particularly in smart cities, green energy, and low-carbon technologies. For example, AI-powered intelligent transportation systems can alleviate urban traffic congestion, reduce energy consumption, and foster sustainable development. Furthermore, the integration of AI in education will reshape learning models, from personalized teaching to immersive learning, making education more efficient and equitable. Ecosystem Refinement: The Taiwanese government has demonstrated its commitment to promoting AI industry by focusing on four strategic pillars: enhancing computing power, fostering field trials, attracting talent, and expanding applications. These initiatives drive the adoption of AI in areas such as smart healthcare, cybersecurity, net-zero green energy, and intelligent transportation, deepening and broadening industrial applications while building a comprehensive AI ecosystem. Going forward, the establishment of integrated mechanisms will link demand, industry, and talent, enabling the application of digital transformation and AI technologies across various sectors. Conclusion Taiwan possesses strong industrial chain advantages and technical expertise in AI development and applications. However, as global AI competition intensifies, Taiwan must accelerate technological innovation, enhance talent cultivation, and strengthen the overall resilience of its industrial ecosystem. At the same time, the government and businesses must collaborate to provide comprehensive support, including infrastructure development, regulatory improvements, and financial incentives, for the promotion and commercialization of new technologies,. Taiwan is pivotal to the global AI industry with the rapid evolution of AI. The government's proactive initiatives aim to establish Taiwan as an "AI Island," creating an influential and innovation ecosystem. Against this backdrop, the exemplary effect of the Shalun Smart Green Energy Science City will become increasingly prominent, serving as a model for Taiwan's AI industry development. By continually advancing technological innovation and fostering international collaboration, Taiwan is poised to become a leader in AI technology and applications in the Asia-Pacific region.

2019-06-27

DIGI+ graduates are ready to lead the future

On June 21st, the Ministry of Economic Affairs’ (MOEA) Industrial Development Bureau (IDB) held the “DIGI+ Talent Accelerator & Jumpstart Program” job fair at the HNBK International Convention Center in Taipei. The job fair attracted more than 100 digital talents and 16 renowned enterprises, which provided over 200 digital economic job vacancies. The MOEA also launched a new job-matching platform for digital careers. The event applied innovative AI resume analysis system to enhance the recruitment efficiency, thereby catalyzing digital transformation in Taiwan. The IDB has cultivated 698 digital talents since 2017. More than 80% of students find their ideal jobs right after graduation, and the average salary is 10% higher than their peers. In cooperation with the 104 Job Bank, the IDB has created DIGI+ Cross-Domain Job-Matching platform, linking digital economic job vacancies from enterprises. Fifty-eight companies joined the platform within a month, providing over 400 job vacancies. Sixteen renowned enterprises participated in the job fair, including Acer and Taipei Fubon Commercial Bank. With the application of text-mining and big data analysis, it provided optimized job recommendation for candidates. IDB Director of Information Technology Industries Division Jiunn-Shiow Lin, Deputy Director General of Institute for Information Industry(III) Lee-Hwa Leu, 104 Corporation Vice President Weber Chung, and Industrial Technology Research Institute College Chief Learning Officer Benjamin Wang were invited to the event. IDB Director Jiunn-Shiow Lin stated that the IDB took the initiative to actively cultivate digital talent in response to the need for digital transformation. The program connects academia and industry with an innovative on-site project training model, and facilitates companies to find digital talent via a dynamic means of recruitment. Contacts Contact Organization: Information Technology Industries Division,Industrial Development Bureau, MOEA（IDB） Contact Person: Mr. Lin Contact Phone: (02)2754-1255 ext.2241

2018-11-14

SMEA Matchmaking for Taiwanese and Japanese Manufacturers. 10 Companies from Fukui Seek Partners in the Golden Valley in Taiwan.

A new chapter is opened for the development of added-value manufacturing between Taiwan and Japan. The Greater Taichung area with the technology corridor and a golden valley of industrial cluster has always played an important role in the manufacturing sector in Taiwan. To assist domestic companies in grasping business opportunities with Japan and improve their technical expertise, the Small and Medium Enterprise Administration, MOEA organized the “Linking Next-Generation Manufacturers - 2018 Taiwan-Japan Manufacturing and Processing Technology Business Opportunities Matchmaking Conference” today (November 14). Ten high-quality manufacturers from Fukui Prefecture formed a delegation to Taiwan to discuss business opportunities with small and medium enterprises in Taiwan. Small and medium enterprises in Taiwan and Japan, particularly Fukui Prefecture which is known for its manufacturing industry, enjoy close relations. They have organized seven matchmaking events for business opportunities with Taiwanese companies since 2012. Taiwan and Fukui Prefecture share many similarities in their industrial development. In addition to pursuing industrial technology upgrade and actively seeking regional cooperation, Fukui Prefecture industries, governments, and academia also closely collaborated to increase energy and vigor for technical advancement and industry strategies. Domestic companies can therefore learn from their experience. Fukui Prefecture has leveraged its solid foundation in world-class textile and eyewear optics to achieve outstanding performance in electronic products, electronic components, and electrical and mechanical manufacturing. To meet the characteristics and advantages of the manufacturing sector in Greater Taichung, the companies that visited Taiwan this year mainly included companies that specialize in metals, composite materials, and peripheral products. They included Yamauchi Matex, Takefu Special Steel, and Hokuriku Roka which all specialize in metal processing and precision manufacturing. Their products exhibit high levels of expertise and encompass golf clubs, building materials, and aerospace applications. Kawasaki Semiconductor Technology has unique high-tech deposition process for silicon wafers. The century-old company Emori & Co., Ltd. is a professional trading company that has conducted exchanges with the textile industry in Taiwan since the 1960s. During their visit to Taiwan, they hope to expand Taiwan’s advanced optics and professional design and manufacturing capacity to Japanese markets. The manufacturing industry in Fukui Prefecture has a long history and it has achieved maturity. Marvel Wood, winner of the 2016 “Wood Design Award”, developed an environmentally friendly agent that does not contain heavy metals and delivers great anti-corrosion and anti-ant performance that effectively prolongs the useful life of wood products used outdoors. Wakasa chopsticks (painted chopsticks) has been designated as a traditional national craft. its largest manufacturer Wakasa Center takes advantage of the popularity of Japanese food and hopes to make use of Taiwan’s leverage in Asian European, and American markets to expand overseas markets with Taiwanese companies. Small and medium manufacturers and service providers can seek matchmaking opportunities for funding, market expansion, and strategic alliances in the “Small and Medium Enterprise Management and Growth Added Value Program”. The Program has facilitated business collaboration of billions of NTD since its inception. Companies that seek collaboration for technology, marketing, and funding as well as those that seek to actively expand foreign markets are invited to visit the “Small and Medium Enterprise Matchmaking Business Opportunities Integrated Service Network” (www.technomart.org.tw) for information on events. Media spokesperson for the project: Su Wen-Ling, Deputy Director, Small and Medium Enterprise Administration, MOEA Office Number: (02) 2771-8121 ext. 1005 Email: Media contact person for the project: Kuo Ling-Lin, Section Chief, Small and Medium Enterprise Administration, MOEA Office Number: 02-23680816 ext. 213 Email: linglin@moea.gov.tw

2018-09-06

Fintech push to spur innovation, economic growth

At the Cabinet’s weekly meeting Thursday, Premier Lai Ching-te pledged government efforts to work with businesses in promoting responsible innovation and financial controls for financial technology (fintech), which he said will create greater prosperity for the people of Taiwan. In remarks following a briefing by the Financial Supervisory Commission (FSC) on fintech development efforts, the premier said the government should emphasize consumer protection as well as the stability of the financial sector when promoting financial technology. As the FSC pushes for greater fintech innovations, therefore, it should at the same time scale up the use of financial regulatory technologies. Fintech has not only transformed business models around the world but also revolutionized the way financial services are provided. Nurturing the sector and encouraging innovation will be the keys to Taiwan’s economic growth and a more competitive financial market, and are also the main directions laid out in the Executive Yuan’s financial development action plan introduced in June, he said. The premier also applauded the FSC for its efforts to construct a supportive environment for fintech innovation. In addition to promoting product development, personnel training and a development-friendly environment as central strategies for the transformation and upgrading of the financial sector, the commission has created a regulatory sandbox for fintech innovations, set up a fintech coworking space, and reinforced fintech cybersecurity measures. The FSC indicated that the coworking space, FinTechSpace, is scheduled to open on September 18, with a themed design embodying the spirit of fintech innovation. The facility offers partners an innovation lab, digital sandbox, global connections, regulatory clinics, and an alliance of innovators, all with the goal of creating a comprehensive environment for financial technology, and cultivating new talent and startups well versed in the industry. A total of 64 teams have submitted applications to join, with 37 so far approved, including 22 international teams from such countries as Singapore, the U.S., Japan, and the Philippines.