Ruban Phukan Co-founder and Chief Product and Analytics Officer , Progress DataRPM level , the normal functioning of a machine under different operating and environmental conditions . We can then assess how this affects a machine ’ s health and consequently what this does to the production line , in terms of efficiency ,” he tells us .

By deploying an automated plant farm that doesn ’ t require someone to be a data science expert , ProgressDataRPM essentially helps large asset-based industries to solve two problems : how to minimise unplanned downtime and how to maximise the quality and efficiency of the output of their assets . This is all done via its cognitive anomaly prediction software . The moment it ’ s connected to sensor-based data it automatically baselines the normal operating conditions of the machine . It then looks for things that deviate from these conditions and creates an alert before predicting the potential issues that might occur .

It ’ s this ability to predict the unknown that Phukan believes represents a major departure from

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