Operational Excellence (OPEX) Insight – Thursday - February 12, 2026: From Connected Devices to Self-Running Systems: How Enterprise IoT Is Reshaping Operations.
Góc Nhìn Vận Hành Xuất Sắc – Thứ Năm, Ngày 12/02/2026: Từ Thiết Bị Kết Nối Đến Hệ Thống Tự Vận Hành: Enterprise IoT Đang Tái Định Hình Vận Hành.
Welcome To Operational Excellence (OPEX) Insight Article For The Paid Subscriber-Only Edition.
This is the bilingual post in English and Vietnamese. Vietnamese is below.
Đây là bài viết song ngữ Anh-Việt. Tiếng Việt ở bên dưới.
English
PART 1 – OFFICIAL INFORMATION
During the 2025–2026 period, Enterprise IoT is witnessing a structural shift from the role of connectivity and monitoring (connectivity & monitoring) toward autonomous operations, reflecting a profound change in how enterprises design and control their operational systems. Instead of merely collecting sensor data, displaying dashboards, or issuing alerts, next-generation Enterprise IoT systems are being directly integrated into the operational decision flow, enabling systems to self-manage workflows, self-adjust operational states, and reduce dependence on manual human intervention. This is no longer a purely technological story, but a redefinition of how operations are created and sustained in highly complex environments.
This shift is occurring in a context where global enterprises face increasing pressure on operational efficiency, skilled labor shortages, and system complexity growing faster than traditional control capabilities. As production, logistics, and service systems scale, merely “seeing data” no longer delivers sufficient value if decisions remain slow, responses remain human-dependent, and deviations continue to spread before being addressed. As a result, Enterprise IoT is being pushed up to the decision layer, where data is not only analyzed but also triggers real-time operational actions.
In the autonomous IoT operations model, systems are capable of self-detecting anomalies, self-coordinating resources, and self-executing corrective actions within predefined control thresholds. This is particularly critical in industries such as industrial manufacturing, logistics, energy, and technical services, where decision latency, downtime, or minor deviations can generate significant operational losses. Instead of waiting for human analysis and response, systems can process data at the edge (edge computing), combined with embedded AI/ML, to react immediately when operating conditions change.
A key aspect of this trend is that autonomous operations do not mean eliminating humans, but rather reallocating human roles within the system. When Enterprise IoT takes over repetitive, rule-based, and low-value decisions, humans are freed from cognitive load and decision fatigue, allowing them to focus on strategic decisions, exception handling, and system improvement. From an Operational Excellence (OPEX) perspective, this represents a shift from human-driven operations to system-driven operations with human governance.
However, industry analyses also emphasize that the transition to autonomous Enterprise IoT cannot be achieved by merely “adding technology” onto legacy systems. If decision architectures, automation thresholds, operational accountability, and risk control mechanisms are not redesigned, technology will only make systems run faster while losing control faster. Therefore, the trend of Enterprise IoT shifting toward autonomous operations is essentially an operating model transformation, in which enterprises must redesign how data → decisions → actions are linked across the entire system.
It is precisely this transformation that is making Enterprise IoT one of the most important operational drivers of the current period. Enterprises that leverage autonomous operations to build flexible systems, high load-bearing capacity, and reduced dependence on manual intervention will gain clear advantages in scaling with low marginal costs. Conversely, organizations that continue to view IoT merely as a monitoring tool will soon realize that connectivity is no longer a competitive advantage, while autonomous operational capability has become the decisive factor for long-term competitiveness.
