From ML Models to Intelligent Applications: The Rise of MLOps

Summary: Surveys MLOps as the shift from optimizing models to operating ML-driven applications and business processes. Highlights deployment, testing, monitoring, collaboration, fairness, explainability, and retraining as distinct data-management challenges and open research problems. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 12742
Venue: VLDB
Year: 2021
Pagerank: -
Overall Rank: 13,470 | 7.59%
DOI: 10.14778/3484224.3484240

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Authors

1. Manasi Vartak (Verta)

BibTeX Citation

@article{vartak_vldb21,
        title = {{From ML Models to Intelligent Applications: The Rise of MLOps}},
        author = {Vartak, Manasi},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {13},
        pages = {3419--3419},
        doi = {10.14778/3484224.3484240},
        url = {https://doi.org/10.14778/3484224.3484240},
        year = {2021}
}

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Rank	Cited Paper	Year	Venue	Pagerank

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