As AI adoption accelerates across industries, the competitive edge no longer lies in building better models; it lies in governing data more effectively. Enterprises are realizing that the success of ...

Maintaining a high level of security and privacy is nonnegotiable in this process. Data sharing within the app's ecosystem must be executed with top-notch encryption and anonymization techniques ...

Knowledge 2025– Today, at ServiceNow’ s annual customer and partner event, Knowledge 2025, ServiceNow, the AI platform for business transformation, unveiled new Workflow Data Fabric ...

Real-time data is just one element of a unified data ecosystem. Ayer says an all-round approach is necessary. Companies need clear direction from senior management; well-defined control of data ...

A framework that defines an in-memory columnar data format that every processing engine can use, Apache Arrow does for OLAP (online analytical processing) workloads what ODBC/JDBC did for OLTP ...

The path to enterprise AI maturity runs directly through data. To build AI-ready data platforms, you need architecture, governance, talent and organizational design.

At its Year in Infrastructure conference, Bentley highlights the value of open data ecosystems to improve infrastructure resilience and sustainability VANCOUVER, British Columbia--(BUSINESS WIRE ...

The application of AI to health-care data has promise to align the U.S. health-care system to quality care and positive health outcomes. But AI for health care hasn’t reached its full capacity.

Quotes in this article are from the “Building a Comprehensive ESG Data Ecosystem: From Standards to Decision-Making” panel moderated by Cinzia Chirac, Head of ESG Regulatory Affairs at Bloomberg.