Strong data quality checks reduce bias, drift and inconsistencies that can distort analytics and AI outcomes before datasets ...

ISO/IEC 5259-3:2024 is part of the ISO/IEC 5259 series on AI -- data quality for analytics and ML. Part 3 provides the requirements and guidance for establishing, implementing, maintaining and ...

AI Agents function less like tools and more like self-directed teammates, orchestrating, analyzing and acting across ...

With AI ambitions outpacing data readiness, CIOs must renovate their data strategies to create unified, AI-ready foundations ...

Mid-Atlantic Permanente Medical Group shows how trusted data and technology can turn value-based care into better outcomes, ...

Every growth team wants the same thing. A steady flow of qualified conversations that turn into revenue without burning budget or brand trust. Yet the path to that outcome looks different for every ...

Bioprocessing data is often scattered across electronic laboratory notebooks (ELNs), laboratory information management systems (LIMS), instruments, spreadsheets, and legacy systems that don’t talk to ...

St. Louis-based SSM Health is working to bring more specialty care under value-based compensation models over the next two years, as the health system seeks to extend physician accountability for ...

AI data platform giant Snowflake has made an equity investment in Ataccama, a data governance and quality management tech ...

Salesforce’s integration of Informatica into Data 360 aims to give AI agents the shared metadata, lineage, and real-time ...

The Trump administration announced plans to dismantle the National Center for Atmospheric Research in Boulder, Colorado.

In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...