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abstract

Workshop on Applied Machine Learning Management

Published:14 August 2022Publication History

ABSTRACT

Machine learning applications are rapidly adopted by industry leaders in any field. The growth of investment in AI-driven solutions created new challenges in managing Data Science and ML resources, people and projects as a whole. The discipline of managing applied machine learning teams, requires a healthy mix between agile product development tool-set and a long term research oriented mindset. The abilities of investing in deep research while at the same time connecting the outcomes to significant business results create a large knowledge based on management methods and best practices in the field. The Workshop on Applied Machine Learning Management brings together applied research managers from various fields to share methodologies and case-studies on management of ML teams, products, and projects, achieving business impact with advanced AI-methods.

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  1. Workshop on Applied Machine Learning Management

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    • Published in

      cover image ACM Conferences
      KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
      August 2022
      5033 pages
      ISBN:9781450393850
      DOI:10.1145/3534678

      Copyright © 2022 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 14 August 2022

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      • abstract

      Acceptance Rates

      Overall Acceptance Rate1,133of8,635submissions,13%

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      KDD '24

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