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Perspectives on ROI for successful adoption of data-driven process control by foundries


17. August 2020
Focus on improved casting outcomes using green sand analytics
Author: Deepak Chowdhary – Inventor of SANDMAN data analytics SaaS software for green sand molding and digitalization in foundries.
Data Science is precisely what the name suggests: it is the science of mathematically modeling data and using the logic and computational flow of algorithms to predict outcomes and recommend the most optimal solutions to achieve them in the process to which applied.
In Machine Learning (ML), the historical and real-time data that is determined for modeling is processed and analyzed to derive an optimal solution. Typically, the data source applied is a human decision. ML cannot decide which data is relevant or access data on its own decision to target the desired outcome. Therefore, the accuracy of data modeling has its own perceptional limitation in data-driven decision making. ....

Deepak Chowdhary , Machine Learning , Frequent Reactive Responses , Metal Casting , Process Control , Foundry Analytics , Mpm Infosoft , தீபக் சவுத்ரி , இயந்திரம் கற்றல் , அடிக்கடி ரியாக்டிவ் பதில்கள் , உலோகம் வார்ப்பு , ப்ரோஸெஸ் கட்டுப்பாடு , ஃபவுண்டரி பகுப்பாய்வு , ம்பீயெம் இனிபோசோப்ட் ,

Perspectives on ROI for successful adoption of data-driven process control by foundries


17. August 2020
Focus on improved casting outcomes using green sand analytics
Author: Deepak Chowdhary – Inventor of SANDMAN data analytics SaaS software for green sand molding and digitalization in foundries.
Data Science is precisely what the name suggests: it is the science of mathematically modeling data and using the logic and computational flow of algorithms to predict outcomes and recommend the most optimal solutions to achieve them in the process to which applied.
In Machine Learning (ML), the historical and real-time data that is determined for modeling is processed and analyzed to derive an optimal solution. Typically, the data source applied is a human decision. ML cannot decide which data is relevant or access data on its own decision to target the desired outcome. Therefore, the accuracy of data modeling has its own perceptional limitation in data-driven decision making. ....

Deepak Chowdhary , Machine Learning , Frequent Reactive Responses , தீபக் சவுத்ரி , இயந்திரம் கற்றல் , அடிக்கடி ரியாக்டிவ் பதில்கள் ,