ICH E6 (R3) introduces a dedicated section on data governance, reflecting the increasing complexity of data sources and ...

Key market opportunities include the adoption of automated sample preparation systems driven by the need for reproducibility and error reduction. High R&D investments by pharma companies for faster ...

As companies rely more heavily on real-time analytics and AI-driven tools, data engineering is evolving into a role that ...

There were some changes to the recently updated OWASP Top 10 list, including the addition of supply chain risks. But old ...

Precisely has announced its latest dataset, StreetPro Discover. It takes complex street attributes that are normally non-text data and turns them into ...

As AI adoption accelerates across campuses, colleges must balance student productivity gains with cost, data privacy and ...

The closer organizations come to harmonizing accuracy, accessibility and AI, the more effectively they can unlock value that ...

Outlook 2026 has challenged us to contemplate “the next big thing.” That is a subject we spend a fair amount of time ...

1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump ...

Although there’s broad agreement that AI demands high-quality, well-governed data, the research indicates that AI inference data is often poorly governed, inadequately classified and rarely backed up.

What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm ...