Product quality prediction — oxidation reactor
An ML model predicting product quality for an oxidation reactor in a petrochemical plant.
We partner with stakeholders to analyze, monitor, recommend, and predict — deploying highly digitalized, efficient solutions powered by advanced data analytics.
From untouched Big Data to live KPIs on a dashboard — a proven, repeatable path.
Businesses generate Big Data each second, ultimately stored in archives where most of it lies untouched or simply perishes with time. We use this data to create value through cutting-edge digital transformation solutions.
Advanced digital visualization & mining algorithms are used to find the hidden patterns in process-plant Big Data, encapsulated in higher dimensions.
Complex, precise mathematical functions are calculated from the analyzed data and used to predict upsets and undesirable operating envelopes before they actually occur.
The prediction models are evaluated on real business data for their efficiency and validation performance.
The finalized model is hooked up to the business's actual data, and attractive, meaningful results are presented on dashboards as Key Performance Indicators (KPIs).
The models then go through a series of improvement steps, ultimately reaching a final, refined state.
Forecast process upsets early through data analytics & machine learning.
Tighten operating envelopes and reduce process variability using AI.
Cut energy use and improve sustainability across your operations.
Build internal capability with our manufacturing-excellence programs and training.
We offer services to varied sectors — and bring our process expertise to engineering companies too.
Banking
Retail
Oil & Gas
Petrochemicals
Refining
Energy Generation
SMEs
Engineering
An ML model predicting product quality for an oxidation reactor in a petrochemical plant.
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