IBM’s text-to-SQL generator takes top place on a benchmark for handling complex database queries
News
Kim Martineau
Data Management
The future of computing lies in the hybrid cloud. We're creating a hybrid data fabric that provides secure, governed data access from anywhere, enables self-service discovery of the right data at the right time, and takes a holistic view at minimizing total cost of ownership for AI and analytics.
Our work
IBM’s CodeFlare significantly cuts the time to automate transfer learning tasks for foundation models
ResearchBishwaranjan Bhattacharjee, Raghu Ganti, Carlos Costa, Mudhakar Srivatsa, and Nick Fuller4 minute read
Publications
3rd International Workshop on Tabular Data Analysis (TaDA)
- Vasilis Efthymiou
- Oktie Hassanzadeh
- et al.
- 2025
- VLDB 2025
A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads
- Andras Strausz
- Niels Pardon
- et al.
- 2025
- VLDB 2025
Knowledge Base Construction for Knowledge-Augmented Text-to-SQL
- Jinheon Baek
- Horst Samulowitz
- et al.
- 2025
- ACL 2025
BI-Bench : A Comprehensive Benchmark Dataset and Unsupervised Evaluation for BI Systems
- Ankush Gupta
- Aniya Aggarwal
- et al.
- 2025
- ACL 2025
Towards Efficient Key-Value Cache Management for Prefix Prefilling in LLM Inference
- Yue Zhu
- Hao Yu
- et al.
- 2025
- CLOUD 2025
Speeding up Model Loading with fastsafetensors
- 2025
- CLOUD 2025
IBM Solution: Data Fabric
Our research is regularly developed into new features for Data Fabric in IBM Cloud Pak for Data.
Learn more
Projects
An LLM-Powered System for Enterprise Data
Reducing friction for scientific and foundation model workflows in Kubernetes.
A lineage data management system for tracking data in hybrid cloud deployments.
