Is Data Management the Beating Heart of AI Systems?
Summary: Data management is the beating heart of AI systems, underpinning data collection, storage, preprocessing, and access in ML pipelines. It calls for DM-system innovations inspired by AI workloads, emphasizing scalable governance, feature stores, and data-centric AI. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chris Ré (Stanford University)
BibTeX Citation
@inproceedings{re_sigmod22,
title = {{Is Data Management the Beating Heart of AI Systems?}},
author = {Ré, Chris},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3523276},
url = {https://dl.acm.org/doi/10.1145/3514221.3523276},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,536 | Database Gyms | 2023 | CIDR | 5.2529727e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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