IT in Manufacturing


Edge I/O NTS and the need for industrial speed

March 2026 IT in Manufacturing

Industrial automation is one of the most exciting solution frameworks and work methodologies of today. With data volumes growing exponentially, developers are now working equally hard to deliver technology that can keep up with the rapid pace of industry requirements.

One of the most compelling solutions to emerge is Edge I/O Network Terminal Slice (NTS). This represents a natural evolution of computing from centralised servers to localised, device-level input/output processing, offering improved speed, efficiency and resilience.


However, Edge I/O NTS is based on years of industry development, and its roots go as back as far as the 1980s, when personal computers and local area networks allowed some distributed processing. Fast-forward to the 2010s and billions of devices started generating data. Sending all of it to the cloud became impractical, leading to edge computing architectures where processing happens locally.

Today, we have Edge I/O NTS which manages sensors, machines and IoT. This moves intelligence closer to where value is created: on the shop floor and at the machine level.

Rather than sending vast amounts of raw data to distant control rooms or cloud platforms, computation now happens at the source. The benefit is immediate, context-aware decisions without the latency associated with centralised systems.

The move from centralised control to decentralised resilience

The rapid growth of connected devices has exposed the weaknesses of monolithic control systems. Centralised systems unfortunately create single points of failure, while decentralised architectures distribute intelligence and risk.

Edge-enabled systems can continue operating even when connectivity to higher-level platforms is disrupted, ensuring continuity and stability. Furthermore, Edge I/O NTS allows for improved cybersecurity as distributed intelligence allows threats to be isolated and managed locally rather than compromising entire operations.

Fast, strong operations

With Edge I/O NTS, intelligence is embedded directly into I/O systems allowing for faster decision making. In practice, local processing allows operators and systems to respond instantly to anomalies. Autonomous fault detection and self-correcting mechanisms improve uptime, while dynamic optimisation of energy use, throughput and quality enhances overall performance.

Importantly, these capabilities are not dependent on constant connectivity to the cloud or central control rooms. Even in remote or challenging environments, edge-enabled devices maintain core functionality, ensuring safe and efficient operations regardless of external conditions.

A benchmark for next-generation edge technologies

While products may differ, industry-leading Edge I/O NTS solutions share a common set of characteristics:

• Interoperability offering seamless integration with both legacy operational technology and modern IT platforms, which ensures continuity while enabling innovation.

• Scalable architecture that allows systems to grow alongside operational needs, avoiding future constraints.

• AI-ready frameworks that support predictive analytics and machine learning.

• Remote management capabilities that reduce the need for onsite interventions and support more agile maintenance strategies.

IT and OT convergence

An important development in the evolution of Edge I/O NTS is the convergence of IT and OT. Today, unified data models enable operational insights to flow seamlessly into enterprise systems, improving visibility across the entire value chain. Standardised protocols also reduce complexity and support plug-and-play integration, while aligned cybersecurity strategies ensure consistent protection across both domains.

Looking ahead, edge-enabled systems will reshape industrial performance. Plants will become more agile, adapting dynamically to operational and market changes while autonomous operations will handle routine decisions.

Lastly, embedded cybersecurity and transparent data governance will set new standards for digital trust, while real-time optimisation of energy and resources will support sustainability and decarbonisation goals.

Edge I/O NTS and its resultant intelligence will be the backbone of Industry 5.0, where human creativity and machine autonomy co-exist to deliver resilient, efficient, and sustainable operations.


Credit(s)



Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

Decarbonising the energies and chemical industry without the risk
Schneider Electric South Africa Electrical Power & Protection
Schneider Electric argues that decarbonisation in Africa’s energies and chemical industry need not compromise production or profitability. A phased, digitally enabled approach, starting with energy efficiency improvements, can reduce emissions while strengthening competitiveness.

Read more...
How to navigate the high-stakes economics of AI infrastructure
IT in Manufacturing
Nearly 60% of data centre operators are expected to adopt liquid cooling within five years as AI workloads drive demand for higher rack densities. Understanding the full financial picture of liquid cooling, from capital investment to long-term operational savings, is now essential.

Read more...
Protecting the digital mine
RJ Connect IT in Manufacturing
As mining becomes increasingly connected and automated, cyber threats are emerging alongside the benefits of digitalisation. RJ Connect and provides rugged networking, edge computing and cybersecurity technologies from MOXA to help protect critical mining operations from evolving attacks.

Read more...
The rise of software-defined brownfield automation
Schneider Electric South Africa PLCs, DCSs & Controllers
Schneider Electric’s EcoStruxure Automation Expert is enabling brownfield operators to modernise incrementally, decoupling control logic from hardware to bridge legacy equipment and future-ready operations without disrupting production.

Read more...
SICK launches AI-powered 3D quality inspection
SICK Automation Southern Africa IT in Manufacturing
SICK has combined deep learning with 3D height data analysis in its Nova machine vision platform.

Read more...
Predictive maintenance is the critical enabler for AI data centre liquid cooling systems
IT in Manufacturing
As liquid cooling becomes essential for AI data centres, predictive and condition-based maintenance are emerging as critical enablers of thermal stability. Schneider Electric argues that the infrastructure is already generating the data needed and the question is whether operators are equipped to use it.

Read more...
Siemens software scales with Simple Energy EV development
Siemens South Africa IT in Manufacturing
: Simple Energy, an Indian electric two-wheeler manufacturer, has expanded its use of Siemens Xcelerator software to manage complex vehicle variants and enterprise-level bills of materials, accelerating product development as its EV portfolio scales.

Read more...
Schneider Electric’s Alliance Programme turns system integrators into trusted technology partners
Schneider Electric South Africa System Integration & Control Systems Design
: Schneider Electric’s Alliance Partner Programme is helping system integrators across Africa move beyond one-off projects and build the skills and service models needed to become long-term industrial technology partners.

Read more...
ESG as a growth lever
RS South Africa IT in Manufacturing
Leading organisations are treating ESG not as a compliance obligation but as a practical tool for operational efficiency, supply chain resilience and business performance, with data and collaboration central to unlocking its value.

Read more...
Retrofitting for sustainability
Schneider Electric South Africa Electrical Power & Protection
As budgets tighten and sustainability targets increase, retrofit and modernisation strategies are gaining traction across Africa, allowing organisations to upgrade only what limits performance while preserving existing infrastructure and extending asset life.

Read more...









While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.




© Technews Publishing (Pty) Ltd | All Rights Reserved