One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

According to Anthropic, scientists often spend a lot of time moving between research databases, coding tools, notebooks and high-performance computers.

Gwen Shapira shares how teams are scaling AI features using PostgreSQL for mission-critical apps. She explains how to ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Last November, the Indian government received a ‘C’ grade, the second-lowest grade, by the International Monetary Fund for the quality of its national accounts statistics. Over the last few months, it ...

As in prior years, I will spend this post looking at what causes risk to vary across countries, how to measure those risk ...

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document ...

Palantir's success with AI projects, based on their tech and forward deployed engineering methodology, has led others to roll ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...