MACHINE LEARNING
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Metasis Hazard-classifier Helps Realize Savings on Maintenance Costs
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Unplanned downtime costs can cripple the best-laid production and financial plans. Smart businesses have turned to ML for help. Mining and merging historical, contemporary data, ML algorithms lay out patters that best predict when a product, machinery is most likely to give way. This is a boon for manufacturers, retailers as they can enjoy the luxury of just-in-time inventory.
Return on Investment for ML-based Predictive Maintenance
25-30%
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Reduction in maintenance costs
Maintenance costs are inversely proportional to time – shorter the time, higher the costs. ML can give the much needed window of time
20-25%
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Increase in production
Studies have showed that the best production floors operate on predictive and prescriptive modes. ML makes that possible.
35-45%
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Reduction in downtime
In service sector downtimes can cause customer and, revenue loss Experts have turned to ML to reduce machinery downtime.
70-75%
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Elimination of breakdowns
Component fatigue is among the least understood and most worrisome issue that aviation industry faces. ML gives insights.
PREDICTIVE MAINTENANCE
TRADITIONAL APPROACHES
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What is it that you need ML to resolve?
When it comes to scope the wheel turns a full 360-degrees for Machine Learning. From customer retention to fraud detection, different businesses have turned to ML to address problems that have bugged their bottom-lines. Metasis ML practice has ML solutions for businesses as diverse as banking , manufacturing and, telecom
What can Metasis ML Practice do for your business?
Expand market share, reduce uncertainty, create new revenue channels
ML-based deep learning models let you time your market expansions
In these uncertain times when markets tend to expand and shrink in quarters, it is important the deep-learning based prediction models guide your investment decisons.
Metasis Price Prediction Platform for BFSi
Enormously capital-intensive and extremely volatile, flash-trading is seen as a high risk option by all, but a few of the big banks. Instead try out our much safer ML-based price platform.
Prevent, minimize both online and offline fraud detection
As automation and e-commerce have both become norms, prevention and minimizing of payment fraud has become a priority task for risk and, compliance teams. It’s no small wonder that banks, e-commerce firms are among the early adopters of ML.