Wedoany.com Report on Feb 4th, In the wave of digital transformation, connectivity has become a critical element of enterprise operations. Private 5G networks, advanced security architectures, and application programming interfaces (APIs) collectively build the digital infrastructure of the smart economy. Enterprises require high-speed, reliable wireless network support to cope with increasingly complex operational environments.
A manufacturing enterprise once experienced production line stoppage for several hours due to a network outage, resulting in significant economic losses and impacting its digital transformation progress. This case reflects a common challenge faced by enterprises today: geopolitical shifts, climate factors, and supply chain fragility are reshaping the industry landscape, while demands for innovation speed, production efficiency, and sustainability continue to rise, and cybersecurity risks increase accordingly.
In a continuously changing environment, connectivity has transformed from a supporting tool into an operational pillar. It determines the effectiveness of automated systems, the insight capabilities of real-time artificial intelligence, and the actual level of enterprise resilience. Without reliable and secure network connectivity, even the most ambitious digital investments can be at risk.
Artificial intelligence applications are accelerating in adoption, but many enterprises encounter difficulties when scaling up pilot projects. There is a gap between digital intelligence and physical operations. Agentic AI systems require resilient, continuous network connections to access high-quality data for real-time responses. This is particularly critical in millisecond-level decision-making environments. Through stable networks and edge computing resources, enterprises can deploy multiple AI systems simultaneously without performance bottlenecks.
The Australian Sunswift Racing team demonstrated the practical application of 5G networks in solar-powered electric vehicle racing. Using Ericsson's wireless wide area network routers and intelligent link bonding technology, the team maintained stable connections during high-speed movement and in remote areas. Engineers could obtain data, video, and communication information in real-time, supporting rapid decision-making. The racing car was equipped with 60 sensors, generating over 3 million data points daily, highlighting the importance of reliable connectivity for critical operations.
This principle applies across various industry sectors. AI-ready connectivity, supported by private, seamless networks and enhanced by edge computing, creates a unified environment where agentic AI can operate locally, instantly, and reliably. This enables enterprises to transition from the experimental phase to practical application, generating tangible impacts on production efficiency, sustainability, and workplace safety.
The industrial sector has long been constrained by the rigidity of wired systems and network fragmentation. Emerging enterprise connectivity architectures offer more flexible and resilient solutions. The private 5G networks deployed by Ericsson at Airbus factories in Hamburg and Toulouse achieved high-speed connectivity across entire facilities, supporting advanced applications such as 3D simulation, augmented reality, part traceability, and predictive maintenance.
Private networks provide stable, predictable wireless connectivity for automated operations. Continuous online capability ensures the reliability of remote sites and mobile assets, helping enterprises track personnel, equipment, and production processes. These technologies support new industrial execution models: flexible adaptation to demand changes, predictive maintenance based on sensor data, and supply chain management that dynamically responds to disruptions.
Programmable network APIs further extend connectivity customization capabilities. Developers can configure network resources according to specific needs, including providing high reliability for autonomous systems, allocating priority capacity for safety-critical operations, and optimizing field deployment locations. Together, these technologies build a more efficient and adaptable industrial ecosystem.
As industries become more digitalized, the risk of cyber attacks increases accordingly. Threat targets have expanded to include physical operational facilities, exposing the vulnerabilities of traditional networks. Regulatory requirements and geopolitical factors have intensified the demand for data sovereignty and operational independence. Deloitte's 2025 Smart Manufacturing Survey shows that 68% of manufacturing leaders have assessed cybersecurity risks within their industrial technology systems.
Private networks address these challenges through local data processing, information protection, and operational control. Reliable wireless coverage maintains security while ensuring operational efficiency. Combined with zero-trust frameworks, encryption technologies, and continuous identity verification, these networks can protect critical infrastructure without disrupting operations. This combination of security, control, and autonomy is particularly important in industries such as energy, transportation, manufacturing, and healthcare.
Private 5G networks, continuous connectivity capabilities, and advanced security frameworks together constitute the digital foundation of the smart economy. In the future, sixth-generation mobile communication technology will further advance this foundation through AI-driven self-optimizing networks, enabling new functionalities like integrated sensing and supporting more adaptive and predictive operations. These capabilities will build smarter, more resilient, and more flexible infrastructure, providing new opportunities for enterprise innovation and strategic development.
Specifically, this means achieving real-time perception operations in both fixed and mobile environments, scaling AI from pilots to continuous automated applications, building more adaptable and sustainable supply chains, strengthening data sovereignty amidst cybersecurity and geopolitical risks, and steadily advancing innovation amidst global changes. These goals are being gradually realized through the modernization of enterprise infrastructure. In the development of the smart economy, enterprises that adopt advanced wireless architectures will gain the necessary speed, reliability, and insights to gain a competitive edge.
