New research looks at how leading AI models hold up doing actual white-collar work tasks, drawn from consulting, investment banking, and law. Most models failed.

Combining MCP, analytics-as-code, and LLMs to automate analytics execution at software speed SAN FRANCISCO, CALIFORNIA ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

Microsoft has announced that SCOM Management Packs for SSRS, PBIRS, and SSAS will reach End of Support in January 2027, forcing enterprise migration to Azure Monitor.

Abstract: Significant advancements in semantic parsing for text-to-SQL (T2S) tasks have been achieved through the employment of neural network models, such as LSTM, BERT, and T5. The exceptional ...

Researchers from Sejong University in Seoul, Republic of Korea, and Universitas Gadjah Mada in Yogyakarta, Indonesia, have introduced a smartphone-based food traceability system (FTS) that uses RFID ...

The SQL schema for the Camera model seems to have a bug where the on column isn't quoted. on is a keyword and should therefore be written as "on" to be accepted by PostgreSQL. The same is true for ...

SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning approaches ...

mcp_ohmy_sql is a state-of-the-art SQL Model Context Protocol (MCP) server built on SQLAlchemy that provides universal database connectivity with intelligent query optimization, configurable tool ...

Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...

Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...