AI in Action: Real-World Use Cases
Posted: 2025-7-31
Source:
Oracle Blogs
The conversation around Artificial Intelligence (AI) has evolved rapidly—from curiosity to real investment. Over the past few months, we have had the opportunity to engage with several niche customers across the manufacturing and industrial domains. A recurring theme in these discussions has been the eagerness to adopt Artificial Intelligence (AI) not as a buzzword, but as a practical lever to solve real business problems.
Organizations across diverse industries are looking to apply AI not as a generic solution, but to address very specific, high-impact business problems. What’s fascinating is the diversity of AI use cases being explored — from quality control in steel plants to demand sensing in automotive supply chains.
Below are some standout examples that reflect how forward-thinking businesses are planning to apply AI in their operations:
Automated Quality Control in Steel Manufacturing
A leading steel manufacturer is exploring AI to bring automation and intelligence into their quality control processes. The focus is on:
Welding Quality Prediction: Using sensor data and historical process logs, AI models are being trained to predict the likelihood of weld defects before they occur.
Surface Cleanliness Detection: Visual inspection powered by computer vision algorithms isss helping identify anomalies in surface finish, reducing manual checks, and increasing throughput.
These AI applications aim to optimize operations, reduce rework, and enhance end-product quality — all in real time...
Read the full article at Oracle Blogs.
