Your AI isn't broken, your data context is; you need solid data engineering to bridge the gap between a smart model and a ...

In practice, retrieval is a system with its own failure modes, its own latency budget and its own quality requirements.

Recent work under the INTEND project and the paper " Intent-Based Data Operation in the Computing Continuum " points in the ...

The AI robotics field has made significant strides in model architecture, with innovations like diffusion models, world models, and imitation learning. But ...

Traditional ETL tools like dbt or Fivetran prepare data for reporting: structured analytics and dashboards with stable schemas. AI applications need something different: preparing messy, evolving ...

Read insights into the challenges facing NHS data, and the solutions available to resolve them - essential reading for anyone ...