In 2026, global manufacturers are meeting Environmental, Social, and Governance (ESG) goals by transitioning from manual reporting to autonomous sustainability. IIoT World tracks the technologies and frameworks driving this shift across energy, safety, and compliance. Key…
There is a prevailing assumption in manufacturing that advanced AI is a "big company game." Global enterprises have the deep pockets, dedicated data scientists, and massive datasets required to make AI work. However, evidence from the…
For manufacturing leadership, every capital request comes with a projection: a return on investment, a payback period, a net present value. These metrics are designed to filter good bets from bad. But there is a new,…
A Human Story Repeating Itself Throughout history, the development of technology has been met with a blend of awe, excitement, fear, and resistance. Whether it was the discovery of fire, the invention of the wheel, the…
AI copilots are rapidly moving from concept to production-ready tools on manufacturing floors worldwide, assisting operators with real-time decision support, anomaly detection, and process optimization. In this IIoT World guide, we explore how intelligent assistance systems…
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…
AIoT, the convergence of artificial intelligence and the Industrial Internet of Things, is reshaping how industrial systems sense, decide, and act without waiting for human intervention. At IIoT World, we define AIoT as the architectural pattern…
Many industrial AI projects demonstrate promising results in controlled pilot environments but never transition to full-scale production , a phenomenon widely known as POC purgatory. In this article, IIoT World explores the root causes behind stalled…
The world of AI is evolving rapidly, and if you're a machine learning engineer, you might already feel drawn towards generative AI. Generative models are more than just a trend—they represent a leap towards a more…
Logistics is difficult because it is hard to keep track of everything. Although most logistics and transportation service providers use mobile technology, changes in regulatory environments, rising labor costs, increased traffic, and volatile fuel prices can…
Few areas in computer science have, over the years, repeatedly created as much interest, promise, and disappointment, as the field of artificial intelligence. The manufacturing industry, now the latest target application area of “AI”, puts much…
The new challenge is to have a deeper knowledge of how and why artificial intelligence generates its results, restoring the necessary centrality of decision-making processes to man. With the recent developments, in recent years, in the…