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
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,469 | Database Gyms | 2023 | CIDR | 4.3304872e-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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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
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| 9,636 | Opportunities for Data Management Research in the Era of Horizontal AI/ML | 2019 | VLDB | 4.3070106e-05 |
| 8,637 | Machine Learning for Data Management: Problems and Solutions | 2018 | SIGMOD | 4.4755972e-05 |
| 8,340 | Deep Learning: Systems and Responsibility | 2021 | SIGMOD | 4.5381546e-05 |
| 1,534 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD | 0.00011462072 |