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
Moving from Reactive to Predictive: How IoT-Enabled Maintenance Drives Efficiency and Cost Savings
Organizations across manufacturing, facility management, and rental equipment often face operational bottlenecks from unplanned downtime. By integrating real-time IoT sensors and data-driven insights, businesses can reduce maintenance costs and mitigate critical failures before they escalate. Case studies show significant financial
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
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
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
What does it take to work with Generative AI Models
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
Time Series Data as the Backbone of Smart Grid IIoT Solutions
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
[White paper] Vibration Monitoring On-Device with Machine Learning
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
Machine Learning and Data Engineering Applications in Agriculture
"In God we trust, all others bring data." William Edwards Deming In 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,