Louisville MSD's Data Driven Digital Transformation Journey Over 20 Years
Why this work is in the frame
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Bibliographic record
Abstract
Louisville MSD's Data Driven Digital Transformation Journey Over 20 YearsAbstractThe Louisville and Jefferson County Metropolitan Sewer District (MSD) in Kentucky has been at the national forefront of using innovative engineering practices, data-driven advanced analytics as well as automated systems to effectively protect local community waterways. Setting a bold vision of being the innovative regional utility for safe, clean waterways, MSD understood early on that cultural and organizational transformation is paramount to the success of embracing and integrating new technologies to meet utility goals and regulatory compliance. This paper showcases concrete examples of MSD’s digital and organizational transformation journey over the last two decades which include the timelines required to implement the projects, the projects outcome, and a summary of the resulting value which includes expanding the system and assets while improving workforce and operational efficiency, saving of over $200M in capital costs, and reducing overflows by more than two billion gallons per typical year.This paper showcases the digital and organizational transformation journey of MSD with examples: from incorporating real-time sensing data into the digital twin model which allows operators to monitor and control their facilities remotely, to developing performance metrics to shine light on the performance and functionality of the system and to provide other insights into operability and predictive maintenance, and to creating a blueprint for strategically transforming the organization.SpeakerMiller, WolffiePresentation time13:30:0014:00:00Session time13:30:0015:00:00SessionStories of Digital Transformation: It's Not About the Journey but the DestinationSession locationRoom S403b - Level 4TopicIntermediate Level, Utility Management and LeadershipTopicIntermediate Level, Utility Management and LeadershipAuthor(s)Miller, WolffieAuthor(s)W. Miller 1; S. Laughlin 2 ; D. Tao 3; T. Luking 4; O. Fradet 5; W. Miller 1;Author affiliation(s)Louisville MSD 1; Louisville MSD 2 ; Tetra Tech 3; Tetra Tech, Louisville, KY 4; Tetra Tech, Quebec City, QC 5; Louisville MSD, Louisville, KY 1;SourceProceedings of the Water Environment FederationDocument typeConference PaperPublisherWater Environment FederationPrint publication date Oct 2023DOI10.2175/193864718825159105Volume / Issue Content sourceWEFTECCopyright2023Word count11
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it