Nastaran Zahir, acting director of the Center for Cancer Training at the National Cancer Institute, helps lead efforts to ...

AI is an amplifier; strategic focus on the organizational system brings the greatest returns. DORA's 2025 research on AI in ...

Prompt injection attacks put your customers, AI agents, LLM referral share, and vendor stack at risk. Here’s where the ...

This article presents a defense-in-depth approach for securing Model Context Protocol (MCP) deployments in production. It outlines four architectural control layers: safe execution, management ...

Artificial intelligence has evolved rapidly over the last few years, and Large Language Models (LLMs) have become one of the ...

Understanding why traditional semantic layers fall short in the AI era requires looking at how AI interacts with enterprise data.

They were patched together over years of business growth, acquisitions, platform changes, and changing departmental priorities. This created fragmented definitions, duplicated logic, and inconsistent ...

There are a lot of AI coding applications out there, and as impressive as large language models and the agents they enable ...

With trust under pressure from AI-generated content and misinformation, a proof of concept shows how claims can be linked to ...

A deep technical guide to how modern AI really works—from neural networks and transformers to RAG, embeddings, reasoning ...

AI models without strong business context risk costly errors, but vendor approaches to “context” vary. Enterprises must take ownership of their data’s definition layer.