IT in Manufacturing


Turning digital transformation into sustainable performance

Technews Industry Guide: Sustainable Manufacturing 2026 IT in Manufacturing

[Sponsored]Sustainability has become a strategic priority for organisations across every sector. Rising energy costs, water scarcity, ageing infrastructure and evolving governance expectations are forcing businesses to rethink how they operate. Yet sustainability is not achieved through ambition alone. It depends on the quality of the decisions made every day across operations, maintenance, engineering, procurement and leadership.

This is where digital transformation has a more meaningful role to play. For many years, industrial digitalisation focused primarily on automation, reliability and cost reduction. Today, those same technologies are helping organisations achieve broader sustainability outcomes by turning fragmented data into trusted, contextualised intelligence.

Most industrial environments generate large volumes of information, but much of it remains locked in separate systems. Energy data, process conditions, equipment performance, maintenance activity and compliance information are often viewed independently. This makes it difficult to understand how decisions in one area affect outcomes elsewhere.

Modern industrial data platforms are changing this. By connecting data from the Edge to the cloud, organisations can create a single view of distributed assets, detect deviations earlier and act before operational issues become environmental, financial or compliance risks. When combined with analytics and AI, the value moves beyond dashboards. It becomes decision support.

The Calcamite wastewater treatment project delivered by 4Sight OT Automation demonstrates how digital transformation can drive sustainability outcomes. Calcamite designs modular wastewater treatment plants for remote communities and sites where conventional sewage infrastructure is not viable. The challenge was to create a scalable, cost-effective model for managing distributed treatment assets with limited onsite resources.

The remote monitoring solution combined Edge-to-cloud connectivity with real-time monitoring. Schneider Electric PLCs collects plant data, while AVEVA Connect provides cloud-based visualisation and oversight. 4Sight OT Automation delivered the integration architecture, communications and commissioning, enabling visibility of performance, alarms and critical operating parameters across multiple sites.

The pilot was deployed at Gourikwa Nature Reserve, approximately 1380 km from Calcamite’s Gauteng factory. Treating 15 m3 of wastewater per day, the site operates without specialist onsite personnel. Real-time monitoring and alerts enable a shift from reactive maintenance to proactive intervention, reducing both cost and operational risk.

A roll-out is planned to get more plants connected, with the intent of reducing maintenance costs related to minimising travel costs. The platform also provides a foundation for evidence-based compliance reporting and performance verification, helping Calcamite scale its operations while improving environmental stewardship

This is why the project was recognised with the AVEVA Sustainability Impact Award at AVEVA World Milan 2026. The award recognised the project’s contribution to decarbonisation, circularity and resilience, and highlighted how decentralised wastewater treatment, when supported by real-time visibility, can become more practical and scalable for underserved communities.

The sustainability value of projects such as Calcamite extends beyond environmental outcomes. Having completed the 2026 United Nations Global Compact Sustainable Supplier Training Programme, the 4Sight team has further strengthened its understanding of how sustainability principles should be embedded across business operations. The programme reinforced the fact that sustainability encompasses not only environmental responsibility, but also human rights, labour practices, ethical governance, and anti-corruption. When combined with trusted operational data and informed decision making, these principles provide a practical framework for delivering measurable and lasting business value.

For industrial organisations, these principles translate directly into operational behaviour. Reliable data supports transparency. Remote monitoring reduces unnecessary travel and resource waste. Better compliance reporting strengthens governance. Proactive maintenance protects infrastructure, communities and the environment. Environmentally responsible technology becomes most valuable when it improves the daily decisions that determine whether assets run safely, efficiently and sustainably.

This is the deeper link between digital transformation and sustainability. Technology alone does not create sustainable outcomes. People do, when they have the information, systems and accountability needed to make better decisions.

As AI, cloud platforms and industrial data architectures continue to mature, the opportunity is no longer only to monitor what has happened. It is to anticipate what is likely to happen next, recommend action and continuously improve performance across distributed operations.

Sustainability is ultimately built through thousands of practical decisions such as when to intervene, where to optimise, how to maintain assets, how to prove compliance and how to use fewer resources while delivering better outcomes. By turning trusted data into actionable intelligence, organisations can improve efficiency, strengthen resilience and create measurable value for business, communities and the environment.


For more information contact 4Sight OT Optimisation, +27 12 640 2600, www.ot.4sight.cloud




Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

The next generation of engineers is building living labs of innovation
Schneider Electric South Africa IT in Manufacturing
Graduate engineers at Schneider Electric East Africa designed, integrated and commissioned the smart building systems in the company’s new Nairobi head office, demonstrating how practical, real-world project experience accelerates engineering capability and confidence.

Read more...
Innodisk launches APEX series edge AI systems for industrial deployment
Vepac Electronics IT in Manufacturing
Innodisk has launched its APEX series edge AI systems, combining hardware, software and system design to simplify industrial AI deployment. The APEX-A100, powered by Qualcomm’s Dragonwing IQ9 processor, delivers up to 100 TOPS with guaranteed availability through 2038.

Read more...
Pilot project to optimise material flow
IT in Manufacturing
WEBER-HYDRAULIK has commissioned autonomous transport robots at its Güglingen site to handle internal material transport between warehouse and assembly areas. The pilot project uses RFID integration and SAP connectivity to automate material flows and reduce manual transport tasks.

Read more...
Accelerating pharmaceutical digital compliance and operational efficiency
Schneider Electric South Africa IT in Manufacturing
Cosmos Limited, one of Kenya’s leading pharmaceutical manufacturers, has partnered with Schneider Electric to implement an integrated monitoring, energy management and digital validation platform that has improved operational visibility, data integrity and regulatory compliance readiness.

Read more...
AI data centres, nature and innovation
Schneider Electric South Africa IT in Manufacturing
Artificial intelligence is driving unprecedented demand for data centre capacity, with liquid cooling now central to managing the heat generated by high-density GPU clusters. Schneider Electric examines how next-generation data centres can balance performance with environmental responsibility.

Read more...
Siemens powers next-generation reusable spacecraft development
Siemens South Africa IT in Manufacturing
A European aerospace startup focused on reusable space systems, has adopted Siemens Xcelerator software to connect engineering disciplines, reduce rework and accelerate spacecraft development, cutting the path from concept to flight hardware to nine months for its orbital demonstration capsule.

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...
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
Schneider Electric South Africa 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...









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