Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

AI knows what ‘churn’ means in a dictionary, but it doesn't know how your company defines it. Analysts are the secret sauce ...

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

AI. Learn why the schema confidence gap matters, what it costs, and how to close it with automated governance.

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for reliable AI systems.

The data engineer started as a casual reader of the Jeffrey Epstein files. Then he became obsessed, and built the most ...

`action` varchar(50) COLLATE utf8mb4_unicode_ci NOT NULL, `entity_type` varchar(100) COLLATE utf8mb4_unicode_ci NOT NULL, `record_id` char(36) COLLATE utf8mb4_unicode_ci DEFAULT NULL, `company_id` ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

FDT/ ├── app/ # Admin backend (FastAPI) │ ├── main.py # Admin dashboard server │ ├── scoring.py # ML ensemble scoring │ ├── fraud_reasons.py # Explainability engine │ ├── feature_engine.py # Feature ...

Abstract: The recovery and reconstruction of database schemas from legacy systems present significant challenges due to outdated or missing documentation. This research proposes the Form-Centric ...