The development of artificial intelligence (AI) has made various industries eager to explore the benefits of AI. There is an increasing amount of research surrounding AI, most of which is centred on the development of new AI algorithms and techniques. However, the advent of AI is bringing an increasing set of practical problems related to AI model lifecycle management that need to be investigated. We address this gap by conducting a systematic mapping study on the lifecycle of AI model. Through quantitative research, we provide an overview of the field, identify research opportunities, and provide suggestions for future research. Our study yields 405 publications published from 2005 to 2020, mapped in 5 different main research topics, and 31 sub-topics. We observe that only a minority of publications focus on data management and model production problems, and that more studies should address the AI lifecycle from a holistic perspective.
|Title of host publication||Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021|
|Place of Publication||Piscataway|
|Number of pages||4|
|Publication status||Published - 2021|
|Event||WAIN'21 - 1st Workshop on AI Engineering – Software Engineering for AI - Virtual, Madrid, Spain|
Duration: 30 May 2021 → 31 May 2021
|Name||Proceedings - 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI, WAIN 2021|
|Conference||WAIN'21 - 1st Workshop on AI Engineering – Software Engineering for AI|
|Period||30/05/21 → 31/05/21|
Bibliographical noteGreen Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
- AI lifecycle management
- Artificial Intelligence
- Software Engineering
- Systematic mapping study