Dossier
data quality
Coverage of data quality in the Nexus archive.
- The foundational elements of AI architecture that IT leaders need to scale
The article outlines four foundational elements of AI architecture critical for scaling AI systems, emphasizing data preparation at scale and context engineering as key components. Poor data quality is highlighted as a major barrier to AI success, with Gartner predicting 60% of AI projects will be abandoned by 2026 if not supported by AI-ready data.
- Inside an Underground Guide: How Threat Actors Vet Stolen Credit Card Shops
The article discusses how cybercriminals use underground guides to assess stolen credit card shops, focusing on data quality, reputation, and survival rates in the dark web market. These guides help threat actors verify trustworthiness rather than assuming it.