Knowledge management solution receives another level! Integrating Generative AI, Search Engine, and NLP technologies, AI Search for KM produces precise and customized responses, offering users a better experience in knowledge search and QA services. We integrate Generative AI and intelligent Search Engine for knowledge management, assisting in the digital transformation of enterprises and enhancing productivity. Solving pain points encountered by technicians and aligning with user application needs.

Nearly one-third of the population in Yunlin County are first-tier industrial workers, mainly agricultural planting and fishery breeding. Through the inventory of various key program modules of scientific and technological agriculture and through service and product design, the six-tier digital system has been completed. It has been effectively improving the first-tier Industrial productivity and filling the gap in production instability, and receiving a solution for the lack of labor and the approval of the National Development Council Plan. This will also make Yunlin a place where cases of digital transformation and creation blooming. This service is introduced into multiple towns and villages in Yunlin County and 350 jobs have been created and about 320 million production value have been increased.The project won the 2022 “Smart City Innovation Application Awards".

ITS traffic data collection has solved the laborious and time-consuming task of manually calculating traffic flow in the past. It aims to achieve the goals of smoother road conditions and reduced accidents through intelligent traffic diagnosis. By utilizing intelligent transportation systems, the system automatically tracks vehicles, identifies vehicle types, predicts trajectories, and transforms the data into useful information. This assists in real-time interpretation and improvement of traffic engineering. This system is particularly crucial in Taiwan, where over 60% of traffic accidents occur at intersections. Through big data analysis, identifying issues and formulating solutions is possible, thereby lowering accident risks. This approach proves more effective than simple advocacy and alerts.

EdgeLink-X is an AI-driven heterogeneous edge-network platform built to provide resilient, low-latency connectivity for intelligent transportation and railway environments. The system forms a multi-layer architecture that unifies field communications, sensing, video capture, and edge analytics into a reliable and adaptive communication framework. At the field level, IP110H and IP503H Lite IP radios deliver instant voice communication and group coordination for frontline personnel. Sensors and cameras are connected through the AG260 AIoT Gateway, while the AS710 Wi-Fi 7 indoor access point provides high-quality Wi-Fi coverage in stations, platforms, and passenger areas to enhance traveler connectivity. Long-range, time-synchronized backhaul is supported by the SP250 Series, ensuring stable, high-throughput wireless links across trackside and outdoor environments. At the core, the zMEC edge-computing platform performs real-time AI video analytics, abnormal-event detection, and rapid data distribution to minimize latency and support mission-critical responses. By integrating Wi-Fi, LTE, 5G, PTP wireless backhaul, and AIoT devices into a single cohesive system, EdgeLink-X enables applications such as slope monitoring, intersection intrusion detection, pantograph spark/wear monitoring, and onboard operational visibility—forming a robust foundation for next-generation safe and intelligent mobility.

Empower your business across critical domains—operations, HR, legal, finance, customer service, recommendations, health education, and equipment management. By integrating Generative AI with advanced knowledge management, we transform how enterprises manage real-time monitoring, dynamic insights, intelligent Q&A, data visualization, text recognition, and content creation. Our solution reduces human error, eliminates redundant tasks, and streamlines complex processes—paving the way for true business process reengineering. Experience faster decisions, smarter workflows, and a future-ready enterprise.

PALF is committed to developing eco-friendly textile products by using recyclable, zero-carbon emission agricultural waste "Pineapple Leaf" to establish the first localized sustainable yarn and fabric pilot production line in Taiwan. We promote the recycling of waste materials to create a more environmentally friendly, sustainable textile and fashion industry.

-)Mainframe monitoring system, maximally supporting one million spots in real time. -)Smart loading balanbe for AOS -)Remote backup for AOS -)Adjudge amount of AOS as required, based on flexible structure. -)Central security management.

To meet the high-speed operational demands of modern businesses, we offer stable dedicated enterprise circuits. Enterprise customers can flexibly choose transmission bandwidth according to their actual needs, with specifications ranging from 100M to 1G, and supporting ultra-fast transmission speeds up to 10G, ensuring uninterrupted flow of business information.  

Prof. Ming-Yen Lin’s Team – A Prediction Model for Type 2 Diabetes Complications Our research group develops a decision-support prediction model for type 2 diabetes complications using data from over 163,000 Taiwanese patients. Integrating age, HbA1c, and other dynamic factors, the model estimates long-term risks of major complications and mortality, visualizes future trends, and supports personalized care planning to improve disease management and outcomes.

Z-COM has invested in heterogeneous network integration R&D for years. Through partnership with global leading Telco operators, we’ve accumulated abundant experience in telecom system integration with Wi-Fi- extended broadband network, to offload traffic from 3G/4G mobile networks as well as providing mobile network coverage with less cost. Over the years, Z-COM’s carrier grade solutions are used to deploy massive scale of Wi-Fi hotspots and various applications for smart city. The new Z-COM carrier-grade wireless network solution introduces Software Defined Network (SDN) architecture, with Edge Computing concepts for Artificial Intelligence of Things (AIoT) applications. The solution offers higher wireless bandwidth, separates control and data plane for edge computing, that provides customized products equipments and software with compatibility, stability, scalability, and security for mobile network operators. Z-COM solutions offer best cost/performance value, with rapid deployment and easy management tools that help telecom operators reduce capital investments and operating expenses, accelerate cost recovery and increase profits.

Integrating RPA, Generative AI, Machine Learning, and Process Management technologies, we provide manufacturing solutions to address supply chain communication, timely business delivery responses, on-site scheduling optimization, order insertion issues, new employee training, and corporate administrative problem-solving.

The Sustainability Performance Management Platform assists enterprises in extending their management perspective from direct emissions to the entire value chain, ensuring the precise implementation of supplier sustainability performance management. The system features a comprehensive digital survey and data management platform, covering everything from questionnaire design, distribution, and response collection to multi-level approval and statistical analysis, enabling companies to integrate supply chain data with maximum efficiency. With flexible template design and year-over-year comparison tools, enterprises can track trends in key issues in real-time. The system supports diverse data entry methods and automated chart generation, while also offering seamless integration with sustainability reporting systems to enable automatic data updates. By leveraging this digital system, companies can establish a highly traceable data management process and significantly strengthen supply chain resilience. Core System Features: 1. Supplier and Stakeholder Performance Assessment: Digitally collect and audit various ESG indicators. 2. Automated Statistical Analysis and Comparison: Generate real-time visual reports to track annual performance trends. 3. Data Integration and Report Linking: Streamline data aggregation to accelerate the production of sustainability reports.