Three out of four enterprises that put AI customer-facing agents into production have already pulled them back out. That ...

Capital tends to be invested for impact in one of two ways. One is in companies or projects that are more or less agnostic to geographic or social context; for example, Lime is the operator of shared ...

The artificial intelligence (AI) systems most companies are building today are flying blind. Here's why context engineering is the missing piece and the race is already on. The promise of enterprise ...

A new study from Google researchers introduces "sufficient context," a novel perspective for understanding and improving retrieval augmented generation (RAG) systems in large language models (LLMs).

Consider someone who’s perfectly content with their office chair. It’s not ergonomic, it doesn’t have lumbar support, but it works. Then, during a meeting or a visit to a friend’s office, they sit in ...

Your AI isn't broken, your data context is; you need solid data engineering to bridge the gap between a smart model and a reliable, real-world business agent. Most enterprise AI investments today ...