MLOps

Matsui, Beatriz Mayumi Andrade; Goya, Denise Hideko

doi:10.1145/3522664.3528611

Cited by 9 publications

(5 citation statements)

References 8 publications

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“…Platform expertise [76], Network Management [76], Hybrid and Distributed MLOps Architectures [79] Organizational Define blueprint for operations [72], Facilitating quicker iterations between problems and solutions [73], Continuous Delivery [13,74,78], continuous improvement [74], Reduce the Reassembling of the pipeline [72], Robust efficient pipelines [4], Top management sponsorship [75], unfamiliar with the unique requirements [76], Lack of awareness and common goals [77], Missing documentation and unclear responsibilities [77], Uneducated hiring [77], Countrylevel regulations [78], Feedback loops [78], Difficult regulatory environment [10], unrealistic expectations [10], seamless production [79], Continuous Deployment [13,79], multi-level governance [80], production environments [83] Social and Cultural Closing the Gap domain experts and technical experts [73], Roles and responsibilities [74,77],…”

Section: Categories Individual Factors Based On Primary Studiesmentioning

confidence: 99%

“…ML skills [76], Shared responsibilities [75], cross-domain skills [76], Stakeholder background [76], Team structure and engineers' skills [82], Culture transformation process [75], collaborative culture [76], Clash of cultures and tools [77], Restructure teams to be cross-functional [77], Fairness and accountability [78], Ethical Considerations [79], Diverse Team [80]…”

Section: Categories Individual Factors Based On Primary Studiesmentioning

confidence: 99%

“…Moreover, executive sponsorship provides support for business goals correspondences and therefore makes sure MLOps has a strategic fit within the overall organization and delivers added value to all stakeholders. By making the senior executives a priority, the organizations can go easy on adopting and implementing MLOps which will lead to increased organizational success and competitive advantage towards the emerging machine learning and AI domains [75].…”

Section: Organizational Challengesmentioning

confidence: 99%

“…The shared responsibilities thwart cross-functional working where teams can pull their strengths and vision for the sake of resolving critical issues in machine learning and brainstorming new ideas [75].…”

Section: Social and Cultural Challengesmentioning

confidence: 99%

“…As there is a growing trend toward learning culture and adaptation, organizations will get better and better prepared to handle problems like data quality, model drift, and developing bottlenecks. In addition, a culture that emphasizes automation, accountability, and the feedback loop can also lead to the application of MLOps methods like version control, automated tests, and CI/CD [75].…”

Section: Social and Cultural Challengesmentioning

confidence: 99%

See 4 more Smart Citations

MLOps critical success factors - A systematic literature review

Mehmood,

Sabahat,

Muhammad Arsal Ijaz

2024

VFAST trans. softw. eng.

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MLOps encompasses a collection of practices integrating machine learning into operational activities, a recent addition to the diverse array of machine learning process models. The need to tightly integrate machine learning with information systems operations to ensure organizational performance led to the development of this approach. Therefore, MLOps methodologies are useful for businesses that want to make their ML operations and procedures more efficient. The purpose of this study is to summarize the many critical success factors that have been identified in studies focusing on MLOps initiatives. The paper shows how these CSFs affect MLOps performance and what factors drive this influence. We picked primary papers for analysis after conducting searches in three major publishing databases. We narrowed the field down to 58 unique CSFs, which were then classified according to three dimensions: technical, organizational, social and cultural. These CSFs affect and drive performance in MLOps, based on the results of the literature review. Researchers and industrial experts may enhance their understanding of CSFs and get insights into tackling MLOps difficulties inside organizations. The paper, notably, emphasizes several prospective research directions linked to CSFs.

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