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.

KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...

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 ...

`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` ...

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

I am a Backend Developer and Software Engineer with a solid background in Artificial Intelligence in academic and professional fields, looking forwa ...