Beyond dashboards building data enables Stanford Health Care to deliver actionable, explainable insights for precision medicine workflows.

Faruk Capan: AI is incredibly powerful at designing a smarter “front door.” In the GLP-1 space, this could mean the technology could quickly capture medical history, check for comorbidities, analyse ...

Learn how to design AI infrastructure and AI-ready systems with this practical enterprise AI setup and AI deployment guide ...

In today’s AI gold rush, the startups that win aren’t just the ones with the best models—they’re the ones with the strongest data foundations. As AI-native companies race to productize intelligence, ...

As more organizations implement large language models (LLMs) into their products and services, the first step is to understand that LLMs need a robust and scalable data infrastructure capable of ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Celestica has transformed into a design-centric platform integrator, occupying key control points in AI data center infrastructure and rack-scale integration. CLS benefits from surging hyperscaler ...

AI is getting smarter by the minute, but the data pipelines behind the scenes are starting to crack. ... Read More The post ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.