Search Results
- Advantech and Actility launch a new AI-based Intelligent Predictive Maintenance IoT Solution for Rotating Machinery
From: Resources / Industry Focus
Join the Industry 4.0 revolution by proactively keeping your industrial machines productive and avoiding shutdowns and work accidents with the new Advantech-Actility IoT Solution!
- Natural First Creates New Growth Momentum with Smart Retail
From: Resources / Case Study
Natural First, a renowned Taiwanese beverage chain has successfully overcome the challenges of the pandemic through the digital transformation of their operations.
- Advantech Helps Tong Cheng Iron Works Launch Smart Air Compressor Management Solution
From: Resources / Case Study
With a view toward the IoT, Industry 4.0, factory automation, and growing customer demand, Tong Cheng, an established air compressor manufacturer in Taiwan, recognized the urgency of industrial transformation. Tong Cheng cooperated with Advantech to develop a cutting-edge intelligent solution aimed at maintaining their leading role in the industry.
- Advantech Launches MachineUnite Solutions on the WISE-PaaS 4.0 Platform for Cold Chain Logistics Applications
From: Resources / Case Study
WebAccess/ NMSFrom: Products
Advantech WebAccess/NMS is a web browser-based software package for networking management system (NMS) designed with SNMP and ICMP communication standards for managing all Ethernet-Enabled Advantech products and third parties devices.
EdgeHubFrom: Products
Like any industrial equipment, today' s IoT devices require proactive care to deliver full value. Without proper monitoring and timely updates, even premium hardware can experience degraded functionality or unexpected downtime without proper monitoring and timely updates. EdgeHub is a native hardware specification from Advantech, built as an extension of the device' s original capabilities. It empowers our IPCs, gateways, and I/O modules with: remote operations, monitoring, configuration, updates, and diagnostics, enhancing IoT device operational efficiency across different application scenarios.
Quality & Process OptimizationFrom: Products
Process manufacturing corporations are constantly striving to optimize their equipment efficiency, productivity, and profitability, while adhering to relevant regulations. One of the most efficient ways to achieve this is by transforming process data into actionable insights. Quality & Process Optimization makes it possible for process and asset engineers to predict process behavior without the need for a data scientist. They can leverage their expertise to proactively solve potential production issues before they arise. By utilizing process evolution, early warnings can be generated and extended to predictive maintenance. The captured events and prescriptions from the engineers can provide the organization with appropriate instructions on when and how to schedule the work.
KB InsightFrom: Products
In the digital era, 80% of enterprise knowledge lies dormant in documents. Advantech KB Insight transforms fragmented data into intelligent fuel for growth. This AI-powered hub integrates RAG, knowledge graphs, and intelligent parsing to process key formats like PDF and Office files—extracting insights, structuring information, and building actionable knowledge. KB Insight creates an explainable, evolvable knowledge system. Through MCP integration, it empowers AI agents with trusted knowledge retrieval, while continuous feedback refines intelligence with every interaction.
- Discrete Manufacturing
From: Solutions
In labor-intensive discrete manufacturing industries, digital support for workers has become a key value driver. Through digital transformation, the workforce can be quickly trained and work can be broken down into smaller steps. Consumers expect faster product innovation; therefore, shortening product life cycles is important. However, younger workforces have less interest in engaging in repetitive manufacturing tasks, making the learning curve for production more complex. The demand for traceability and flexibility in actual production makes production control throughout the supply chain more explicit, helping companies face future manufacturing challenges.