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Achieving Operational Excellence in Metals and Mining with Data Fabric Implementation
In the dynamic and complex landscape of metals and mining operations, achieving operational excellence is crucial ...
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Bridging AI and Control: Surrogate Models for Dynamic Process Optimization
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Reducing cycle time in batch manufacturing is challenging due to the complexity of defining and analyzing process
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Real-Time Quality Prediction in Fertilizer Manufacturing Using Hybrid Soft Sensors
A leading global fertilizer manufacturer, known for producing complex NPK blends, wanted to enhance its quality control process.
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AI-Driven Sulphur Prediction in Diesel Hydrotreating
Meeting ultra-low sulphur diesel (ULSD) norms often forces operators to run with wide safety margins ...
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Modernizing Maintenance Processes with Generative AI in the Manufacturing Industry
Legacy maintenance systems and manual workflows are no longer fit for the speed, complexity, and safety demands of today’s process industries.
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AI-Driven Hydrogen Network Optimization for Refineries
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A control room veteran and an AI architect discuss what actually works when you put copilots in front of console operators.
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Machine Learning–Driven Design of Experiments (ML-DOE): The Efficient Experimentation
Suhas Koushik
Dec 09, 2025
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Smarter OEE: Unlocking Pharma Efficiency with Agentic AI
Suhas Koushik
Aug 20, 2025
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