The new machine-learning engine automates QA/QC processes, significantly reducing time and errors.
WD News: Aquatic Informatics has announced the launch of HydroCorrect™, a new automated data validation tool that can power proactive monitoring and management of groundwater, flooding, and water quality in the Aquarius™ platform.
HydroCorrect transforms data quality assurance and quality control (QA/QC) processes using machine learning to automate and standardise workflows, detect data anomalies, ensure regulatory compliance, and enforce data standards organisation-wide, leading to an exponential reduction in time and resources spent on the QA/QC process.
The tool provides immediate recommendations on how to respond to environmental events and influence long-term decisions while ensuring the data that drives those suggestions is defensible, reliable, and timely.
Michael McCormick, Vice President of Product at Aquatic Informatics said, “With machine-learning technology, this will transform the QA/QC process with automation and standardised workflows that save time and improve data quality.”
HydroCorrect enables organisations to easily transition to automation by providing support and giving operators full control. Trusted automation provides flexibility through user-approved actions until operators are ready to fully automate any action as well as visibility with the audit trail and easy-to-understand rule creation and anomaly detection. Estimations and corrections use high-accuracy, in-situ, field-visit data to adjust the continuous time series data, creating full confidence in the abilities of the analysis.
Source & image courtesy: Aquatic Informatics
