infinitii ai inc. has released infinitii data review ? a new platform feature that empowers infinitii flowworks users with unparalleled efficiency in reviewing and editing sensor data outliers that may needlessly trigger alerts or negatively impact data model accuracy in water utility operations. The new software is being launched as senior executives from infinitii ai attend the Water Environment Federation (WEF) Collection Systems and Stormwater Conference 2024 taking place in Hartford, CT April 9-12. The new infinitii data review feature was a direct result of working with a global engineering services firm and large urban wastewater infrastructure customer that understood infinitii flowworks' unique ability to graphically display sensor data outliers.

The result is a comprehensive set of features for the visual review, flagging, and in-line editing of infinitii flowworks data all from within its graphing tool. From any time-series graph, users can transform raw sensor data into a new calculated channel, quickly removing, replacing, or altering a range or a single data point from raw data into a new "clean" channel without needing to leave the graphical visualization screen. infinitii data review features and benefits: In the world of flow monitoring, data is collected from water infrastructure sensors on a frequent basis, creating time-series data channels in infinitii flowworks.

Any data anomalies, or outliers, can be identified graphically. With infinitii data review, users examining this graphical data can now simply hover a mouse over a discrepancy and pop up a data calculation window to write any required adjustment to a new channel. Used alongside infinitii auto QA/QC software that identifies anomalies in raw sensor data, infinitii data review boosts data analyst productivity for infinitii flowworks systems by up to 75%, and improves accuracy in data models.

With any edit, the user has the option to add a comment, or note about the action they have taken. This note is saved into an infinitii flowworks Notes channel. The user can pick from an existing notes channel, or create a new one.

Notes channels can be plotted on the edited graph to indicate where the user has made changes or otherwise commented on the data. infinitii data review's flagging mode provides quality assurance and quality control functionality, allowing datasets to be visually classified with colors and numbers. These flag values can then be incorporated into existing data calculation channels for filtering, scrubbing, and other reporting purposes.

Data analysts can submit comments and notes with their changes which are stored as a new infinitii flowworks calculation channel alongside their dataset. Raw data is never be modified, and changes made during the edit process can be reverted, replaced, or discarded.