Whether you’re generating data from scratch or transforming sensitive production data, performant test data generators are critical tools for achieving compliance in development workflows.

As AI agents take on real work, new rules for autonomy are emerging that favor reliability, clarity and human control.

We look at block vs file storage for contemporary workloads, and find it’s largely a case of trade-offs between cost, complexity and the level of performance you can settle for.

The Snowflake-Anthropic $200M deal brings Claude agents to governed data. Baris Gultekin on trust, real-world impact, and why ...

Amazon Q Developer is a useful AI-powered coding assistant with chat, CLI, Model Context Protocol and agent support, and AWS ...

ThoughtSpot's agent suite aims to provide a coherent analytics foundation as enterprises grapple with AI experimentation - but the semantic layer argument matters more than the agent count There is no ...

Organizations have been kicking the tire on AI for the past several years, but 2025 saw an explosion of AI-powered offerings ...

A new, real threat has been discovered by Anthropic researchers, one that would have widespread implications going ahead, on ...

Database administrators are reinventing themselves. Data roams freely, AI is advancing, and governance is lagging behind. Yet ...

A decade ago, the concept of liquid content emerged as a response to the fragmentation of devices, platforms, and audience consumption habits. The idea ...

Malicious prompt injections to manipulate generative artificial intelligence (GenAI) large language models (LLMs) are being ...

But it still has to learn about custom patterns from devs or docs, and needs help to review and tune its output.