I asked 5 data leaders about how they use AI to automate - and end integration nightmares ...

In 2026, entry-level and transition roles often expect more than passive course completion. Employers want to see that you can write queries that answer business questions, work with browser logic, ...

Artificial intelligence has become embedded in nearly every operational layer of modern institutions. It parses documents, ...

With Lakewatch, Databricks presents an open SIEM based on Lakehouse. AI agents are intended to automatically detect and triage threats in data pools.

Enterprise electronic health record (EHR) systems generate enormous volumes of clinical and administrative data every day.

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 ...

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 ...

A critical SQL injection flaw in FortiClient EMS allows remote code execution and data exfiltration, leaving thousands of ...

We’ve explored how prompt injections exploit the fundamental architecture of LLMs. So, how do we defend against threats that ...