From Reactive to Predictive: How IIoT Is Transforming Maintenance Strategies
· Predictive Maintenance

From Reactive to Predictive: How IIoT Is Transforming Maintenance Strategies

Industrial maintenance…a headache? Yes. Thief of time? Absolutely. Reputation killer? It has its moments! These are the results of relying on a reactive approach to industrial maintenance. Reacting when equipment failures occur repeatedly without warning leads to operational downtime, production delays, and unplanned expenses that come directly out of a company’s profit margins.It’s been a […]

Read more →
Practicing Responsible AI in Healthcare
· Artificial Intelligence

Practicing Responsible AI in Healthcare

Healthcare Industry and the Need for Responsible AI The healthcare industry has always been under scrutiny, due to the magnitude of responsibility it holds, as health is one of the most significant pillars of any nation from a geopolitical standpoint as well. The use of AI in the healthcare industry is evolving for various reasons. […]

Read more →
AI and Process Safety: How Schneider Electric is Pioneering the Future
· Artificial Intelligence

AI and Process Safety: How Schneider Electric is Pioneering the Future

Artificial Intelligence (AI) is making its way into the world of process safety, revolutionizing how industries approach hazard analysis, risk mitigation, and operational efficiency. Chris Stogner, Senior Director of Offer Management at Schneider Electric, shares insights on how AI reshapes safety lifecycle management and why the industry must embrace these advancements.A New Era for Process Safety with AISchneider Electric has […]

Read more →
AI and ML in Manufacturing: Turning Data into Actionable Insights
· Artificial Intelligence

AI and ML in Manufacturing: Turning Data into Actionable Insights

Since the Industrial Revolution, the manufacturing sector has generated vast amounts of data—too much for humans to process manually. So, industries like automotive, electronics, textiles, and pharmaceuticals are now leveraging artificial intelligence (AI) and machine learning (ML) to transform raw data into actionable insights, enhancing efficiency and productivity.Big Data and related software have enabled data-driven […]

Read more →
IIoT and ML: The Secret to Reducing Waste and Maximizing ROI in Manufacturing
· Discrete Manufacturing

IIoT and ML: The Secret to Reducing Waste and Maximizing ROI in Manufacturing

For modern manufacturers to stay relevant in an ever-expanding global market, they have to overcome a plethora of challenges that demand innovative solutions. Rising costs of raw materials and energy have placed considerable strain on profit margins, causing manufacturers to adopt more cost-efficient strategies. Concurrently, there is an increasing emphasis on sustainable practices that minimize […]

Read more →
Perfect Match: How AI and IoT Are Revolutionising Industrial Applications
· Artificial Intelligence

Perfect Match: How AI and IoT Are Revolutionising Industrial Applications

The industrial Internet of Things (IIoT) landscape is at a turning point. The adoption of artificial intelligence (AI) is fundamentally transforming how businesses process data, control machines, and optimise processes. In this context, a new term has emerged: AIoT – the fusion of AI and IoT. This synergy not only opens new dimensions of efficiency […]

Read more →
Low-Code Platforms: Helping Manufacturers Overcome Software Development Limitations
· Process Manufacturing

Low-Code Platforms: Helping Manufacturers Overcome Software Development Limitations

Low-code platforms can help manufacturers address some of the limitations of traditional software development. Here are some key ways they achieve this: Abstraction and Accessibility: Low-code platforms offer a higher level of abstraction, allowing engineers to focus on “what” they want to build rather than getting bogged down in complex coding details (“how” to implement it). […]

Read more →
Breaking Free from POC Purgatory: Transitioning AI Projects to Production
· Artificial Intelligence

Breaking Free from POC Purgatory: Transitioning AI Projects to Production

Transitioning a promising AI Proof-of-Concept (POC) into a fully operational production environment is a critical, and often challenging, step in realizing the value of AI investments. The panelists of the “AI-Driven Process Optimization: Achieving Faster Turnarounds and Higher Margins” session that took place at IIoT World Sustainability and Artificial Intelligence Day, although primarily focused on […]

Read more →
Regulatory Compliance and ICS Security: A Comprehensive Guide
· Cybersecurity

Regulatory Compliance and ICS Security: A Comprehensive Guide

In today’s interconnected industrial landscape, ensuring regulatory compliance and securing industrial control systems (ICS) is more critical than ever. As industries face increasing scrutiny and cyber threats, organizations must adopt robust security measures and align with evolving regulations to protect their operational technology (OT) environments.The Importance of Regulatory Compliance in Industrial CybersecurityIndustries like manufacturing, utilities, and critical infrastructure are under constant threat from cyberattacks. Regulatory […]

Read more →
Low-Code Platforms: Making Sense of Manufacturing Data
· Discrete Manufacturing

Low-Code Platforms: Making Sense of Manufacturing Data

The manufacturing industry is awash in data. From sensors on the factory floor to enterprise resource planning (ERP) systems, manufacturers generate vast amounts of information every day. However, extracting meaningful insights from this data deluge can be a daunting task. This is where low-code platforms come in, offering a powerful solution to help manufacturers unlock […]

Read more →
Data Retention for Long-Term IIoT Monitoring Using Time Series Databases
· Predictive Maintenance

Data Retention for Long-Term IIoT Monitoring Using Time Series Databases

Traditional industries have evolved by implementing many Industrial IoT practices, where we can get data from mechanical devices and sensors. Such real-time data monitoring helps perform better analysis, predict equipment failure, and reduce operating costs. However, IIoT creates enormous volumes of data that must be retained and controlled over long periods. Managing large volumes of […]

Read more →
Five reasons why AI projects fail in manufacturing
· Artificial Intelligence

Five reasons why AI projects fail in manufacturing

Implementing AI in manufacturing holds great promise, but the path to success is often littered with obstacles. Despite the hype, many AI projects fail to deliver on their potential.Here are some common reasons why AI projects fail in manufacturing: Data Access and Quality Issues:Accessing the right data is crucial for AI success in manufacturing. This includes not […]

Read more →