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 AI initiatives in manufacturing and provides a practical roadmap for transitioning projects from pilot to production at scale.Transitioning a […]
Read more →
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 creative AI future. But what does it take to transition from traditional machine learning to working with cutting-edge generative […]
Read more →
The smart grid transformed modern energy management by integrating digital technology into traditional power grids. It enhances real-time monitoring, control, and optimizes energy distribution and consumption. This change is crucial for meeting the growing need for reliable, sustainable, and efficient energy systems.Data is essential for this to work. Readings from sensors, devices, and machine controls […]
Read more →![[White paper] Vibration Monitoring On-Device
with Machine Learning](https://iiot-world.com/wp-content/uploads/machine-learning-1024x683.jpg)
In the cutting-edge realm of vibration monitoring and predictive maintenance, this white paper written by Polyn Technology delves into how machine learning and neural networks revolutionize the way industrial and vehicular environments predict and prevent equipment failures. Highlighting the transition from traditional methods to advanced neural network applications, it outlines the significant enhancements in efficiency, […]
Read more →
“In God we trust, all others bring data.” William Edwards DemingIn this article, we show the importance of interference between Machine Learning, Data Engineering, and Agriculture. The main problems that farmers face on an everyday basis, such as climate changes, manual time-consuming tasks, and changes in consumers’ everyday dietary are presented in the article. Along […]
Read more →
Machine learning is reshaping agriculture by enabling data-driven decisions across planting, irrigation, pest management, and harvesting. In this comprehensive guide, IIoT World explores the core challenges that farming operations face when adopting ML, including limited connectivity in rural environments, fragmented data sources, and the high cost of sensor infrastructure, alongside proven solutions that are delivering […]
Read more →
Manufacturing is poised to play a critical role in shaping the economy for the next decade and beyond. The opportunities are endless if the advanced manufacturing industry can strengthen its innovation vision and embrace the reality of end-market disruption, but there are some challenges too. When you talk about the specific challenges for small and […]
Read more →
By now, the positive impact of digitalization in manufacturing environments is widely recognized — reduced costs, improved operational efficiency and greater productivity. But digitalization is not fulfilled by making just a single change. It is a continuous cycle of updates and improvements. To really thrive in this era, manufacturers must look at how Industry 4.0 […]
Read more →
What is Ensemble Modeling? Ensemble Modeling is a technique used to improve the results of Machine Learning projects. This Ensemble Modeling technique allows to obtain a better predictive performance compared to the models from which it is made up, thanks to a series of ensemble methods that use multiple models. Examples of Ensemble Modeling technique […]
Read more →
We live in a world of increasingly smart and interconnected devices. From power grids to industrial control systems and vehicle fleets, IIoT devices are proliferating. Recent estimates project that there will be well over 24 billion IoT devices within the next four years, and this abundance of devices will generate a tsunami of data. How […]
Read more →
Deep Learning, which is based on the use of neural networks, can be applied to very different types of information, which call for the use of particular networks better suited to achieving specific objectives. What are Artificial Neural Networks (ANN)? The Artificial Neural Networks (ANN), on which Deep Learning is based, are computational models that […]
Read more →
Network operators around the world have invested heavily in spectrum, with auctions exceeding $27 billion in 2020 according to the Global Mobile Suppliers Association. They are looking to move quickly with 5G, seeking solutions to help them develop services faster for specific verticals such as the Industrial Internet of Things (IIoT). There is a lot […]
Read more →