First Workshop Connecting Academia and Industry on Modern Integrated Database and AI Systems (MIDAS)

The MIDAS workshop is designed to foster meaningful collaboration between researchers and industry practitioners by identifying and addressing complex challenges in the field of Generative AI (GenAI) and Data. These challenges often require a longer-term research perspective while simultaneously needing to remain grounded in real-world constraints and operational scenarios.

Authors

Institutions

Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1145/3722212.3724488
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

First Workshop Connecting Academia and Industry on Modern Integrated Database and AI Systems (MIDAS)

Avrilia Floratou, Subru Krishnan, Jignesh M. Patel
Big Data and Business Intelligence
article

First Workshop Connecting Academia and Industry on Modern Integrated Database and AI Systems (MIDAS)

Avrilia Floratou, Subru Krishnan, Jignesh M. Patel
article en

Abstract

The MIDAS workshop is designed to foster meaningful collaboration between researchers and industry practitioners by identifying and addressing complex challenges in the field of Generative AI (GenAI) and Data. These challenges often require a longer-term research perspective while simultaneously needing to remain grounded in real-world constraints and operational scenarios.

Microsoft (United States) (US), Carnegie Mellon University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 76%
Big Data and Business Intelligence
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.