Industrial AI (Industrial AI) is becoming a core driver of manufacturing transformation and upgrading. By combining AI with real-time data analysis, the industry is moving toward smart manufacturing, autonomous operations, and precise decision-making. However, for AI to truly be implemented and deliver tangible benefits, challenges such as data integration, traffic pattern management, and network security architecture still need to be overcome. Moxa (2025 Technologies), a leader in industrial communications and networking equipment, has identified three key areas for implementation and, at the XNUMX Taipei International Industrial Automation Show, demonstrated how a robust networking foundation can enable smart manufacturing and green transformation.
Three key implementation issues: data, traffic, and network security
Moxa points out that industrial AI is highly dependent on the massive amounts of data generated by field sensors and machines. To ensure that AI models can produce valuable decisions in real time, it is first necessary to establish an integrated data foundation, covering the system perception layer, network layer, and application layer. It must also ensure smooth integration with IoT devices and AI applications to avoid the formation of data silos.
Secondly, it must support complex traffic patterns. This is especially true in smart manufacturing, where AI involves real-time control, edge computing, and cloud-based analysis. This requires a balance between immediacy, computing power, and data security. For example, the edge can quickly process real-time responses, while the cloud is suitable for model training or long-term data management.
Finally, there's the issue of highly adaptable networks and security deployment. With the increasing adoption of AI, production lines require more flexible wired/wireless hybrid networks, coupled with next-generation industrial communication technologies like Transistor-Synchronous Networking (TSN), Single Pair Ethernet, and Ethernet APL to support applications like low-latency transmission and digital twins.
At the same time, network security must be integrated into architectural design, introducing IEC 62443 standards and OT/IT information security protection to ensure the stability of AI in actual operation.
Shih-Wei Lin, General Manager of Moxa's Pan Asia and Taiwan region, emphasized, "The key to implementing industrial AI is no longer simply model training; it's the ability to leverage network communications to deliver immediate benefits while maintaining long-term operational security and flexibility."
Taipei Automation Show unveils AI × Green Smart Manufacturing applications
At the 2025 Taipei International Industrial Automation Show, Moxa showcased a variety of AI applications and energy-saving scenarios under the theme of "Robust Networking Empowers Green Smart Manufacturing." These included projects such as smart warehousing, AI-powered predictive maintenance, smart air conditioning energy saving, and global production situation room management. Among them, the ioPAC 6500 integrated intelligent controller, developed in collaboration with Saudi Aramco, integrates communications, control, computing, and security functions. This not only simplifies deployment and reduces costs, but also helps accelerate industries' transition to low-carbon and digital transformation.
Moxa also showcased its AWK Wi-Fi 6 industrial wireless devices, which comply with the IEC 62443-4-2 specification and the EU EN 18031 security standard. The company also provides professional Wi-Fi deployment services to help companies optimize industrial wireless quality. Regarding edge computing, Moxa launched new x86-based rugged industrial computers and Arm-based IIoT gateways, supporting diverse AI computing scenarios and enabling administrators to gain real-time visibility into the operational status of distributed devices.
Moxa is collaborating with partners in markets such as Taiwan, India, Japan, and Malaysia to integrate AI with OT/IT data streams, delivering cross-domain applications such as equipment health monitoring, AGV wireless roaming, and factory carbon management. Furthermore, by integrating ESG energy consumption data, Moxa enables real-time monitoring and abnormality alerts for multinational production lines.
AI and the Internet: Twin Engines of Industrial Upgrading
With the introduction of AI into industries like manufacturing, energy, and logistics, networks are no longer simply connections; they are the foundation for the long-term success of AI applications. Moxa, through its three key enablers and comprehensive industrial networking solutions, demonstrates how AI and the network can be combined to drive efficiency, quality, and sustainability in smart manufacturing.
