Outlier Detection & Analysis App

Clean asset data and find outliers The data you have today has value – if you can unlock its meaning. Successful artifical intelligence (AI) requires clean, l

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Product Descriptions

Increasing the business value of your data unlike “black box solutions,” this tool both uncovers outliers and identifies the contributing variables that make a pattern an outlier. reduce the it workload and take action to resolve bad situations sooner. easily identify potential process and productivity improvements, increase uptime or efficiency, and minimize dangerous or costly situations. explore the outlier detection & analysis app features automated data cleaning significantly reducing the burden of finding and fixing data errors with a systematic and automated approach to cleaning up “bad” data detection & explanation providing a reliable list of outliers along with an explanation of the combination of attributes that contribute to the outlier event batch-labeling fast-tracking the initial tedious and time-consuming steps of an ai journey by rapidly cleaning and labeling datasets

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Maya HTT

Maya HTT has been working hand-in-hand with some of the world’s largest engineering and manufacturing companies on their journey towards digitization where AI and ML are playing an increasingly critical role: from product conceptual studies, to design optimization, to predictive engineering and maintenance analysis, automation, real-time data acquisition and analytics, to production planning and commissioning, and finally to turn resulting operational data into new businesses.

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