Description: Operators who have embraced a proactive continuous improvement approach to managing their Pipeline Integrity Management Programs are now including elements of data science to efficiently assess large volumes of data for trends and outliers. With structured and normalized data, data scientists can construct machine learning models that expose previously unavailable insights and automation.

Dynamic Risk has partnered with a growing number of pipeline operators across the globe to compile the vast amount of available data from their pipeline assets into our Insight Hub. With the support of these forward-thinking operators, and a significant investment of technical resources; the Insight Hub is poised to enable previously impossible insights and data applications.


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