The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

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

For decades, the "Master Resume" was the gold standard of job hunting. It was a comprehensive, chronological document—a static monument to one’s career—designed to be printed, stapled, and mailed to ...

As organisations across the UAE move to AI orchestration, leaders are being forced to rethink skills, governance and accountability in an emerging hybrid workforce.

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...

Excel’s atomic variables and real-time feedback created the world’s most successful low-code environment.

The additions let data teams ask progressive, context‑aware questions in natural language while enabling developers to deploy governed analytics agents across applications via unified API endpoints.

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

The Model Context Protocol (MCP) has quickly become the open protocol that enables AI agents to connect securely to external tools, databases, and business systems. But this convenience comes with ...

Unanet, the leader in AI-first solutions for ERP and growth purpose-built for government contractors (GovCons), today announced GrowthStudio, a new AI-first growth automation platform architected to ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

In the meantime, it’s asking a court to pause remedies meant to restore competition. In the meantime, it’s asking a court to pause remedies meant to restore competition. is a senior policy reporter ...