AgileML: A Machine Learning Project Development Pipeline Incorporating Active Consumer Engagement

Raj M Shukla, John P Cartlidge

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)
135 Downloads (Pure)

Abstract

Machine learning (ML) project deployments often have long lead times and may face delays or failures due to lack of data, poor data quality, and data drift. To address these problems, we introduce AgileML, a novel machine learning product development lifecycle where the end consumer and development team work collaboratively through an iterative process of development. We use AgileML to develop a commercial spend classification service and demonstrate that the earliest alpha deployment can offer users significant commercial value. User-testing with a professional spend analyst demonstrates that the system can lead to a five-fold increase in classification speed.
Original languageEnglish
Title of host publication2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)978-1-6654-9552-3
ISBN (Print)978-1-6654-9553-0
DOIs
Publication statusE-pub ahead of print - 1 Mar 2022
EventThe Asia-Pacific Conference on Computer Science and Data Engineering - Virtual, Brisbane, Australia
Duration: 8 Dec 202110 Dec 2021
Conference number: 8
https://ieee-csde.org/2021/

Publication series

Name2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021

Conference

ConferenceThe Asia-Pacific Conference on Computer Science and Data Engineering
Abbreviated titleIEEE CSDE 2021
Country/TerritoryAustralia
CityBrisbane
Period8/12/2110/12/21
Internet address

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by Innovate UK Knowledge Transfer Partnership between University of Bristol and Claritum Limited (KTP 11952).

Publisher Copyright:
© IEEE 2022.

Keywords

  • Spend management
  • AI service
  • Model deployment
  • ML development pipeline
  • Support vector machine

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  • Claritum KTP - 11952

    Cartlidge, J. (Principal Investigator)

    22/08/1931/01/23

    Project: Research

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