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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Panel on AI for Future Databases: A New Beginning or a Boulevard of Broken Dreams?

Danica Porobic, Carsten Binnig
Explainable Artificial Intelligence (XAI)
article

Panel on AI for Future Databases: A New Beginning or a Boulevard of Broken Dreams?

Danica Porobic, Carsten Binnig
article en

Abstract

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.

Technische Universität Darmstadt (DE)
Openalex Percentile: Top 93%
Explainable Artificial Intelligence (XAI)
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.