Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Discover how behavioral modeling helps predict consumer actions using spending data, enabling businesses to refine targeting and enhance risk assessment.

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

These strategies bring teachers together and naturally generate evidence of coaching’s impact on student learning.

Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have ...

A new artificial intelligence model developed by Stanford Medicine researchers and their colleagues can use physiological ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do ...