Panel on AI for Future Databases: A New Beginning or a Boulevard of Broken Dreams?
AI has opened new directions in database research, from learned components replacing traditional internals to large language mod- els(LLMs), enabling a new generation of database systems that allow querying data beyond tables. Yet, adoption in commercial databases has been incremental rather than a fundamental rethinking of mod- ern data system stacks. In this panel, we bring together experts from academia and industry to discuss the tension between potential and reality in how AI shapes real-world database products.
Authors
- Danica Porobic (ORCID: https://orcid.org/0009-0003-4943-1530)
- Carsten Binnig (ORCID: https://orcid.org/0000-0002-2744-7836)
Institutions
- Technische Universität Darmstadt (DE)
Publication Details
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1145/3722212.3724479
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 0.00