With AI agents multiplying across enterprises, IBM’s watsonx–Guardium integration aims to provide unified AgentOps visibility ...

Transparency Report is out, underscoring our continued commitment to building AI technologies that people trust. The report ...

Companies redefine how unstructured data is governed, integrated and activated for agentic AI, signaling a new era of ...

As the Internet Governance Forum (IGF) marks two decades shaping global digital policy, the need to create an equitable online future has never been greater. This year’s Forum, held in Norway from 23 ...

Data governance has long been the backbone of responsible data management, ensuring that organizations maintain high standards in data quality, security, and compliance. According to Jonathan ...

The Getting Started Guide bridges the gap between MCP concepts and implementation with sequence diagrams and annotated code examples. Model Context Protocol (MCP) is an open standard (introduced in ...

Jonathan Reichental, former CIO and author of “Data Governance for Dummies,” aptly captures the essence of ... and 16% operate with a distributed model. Interestingly, data governance is most ...

This predictive ability enables organisations to implement preventive measures, protecting against potential declines in data quality. By adopting AI governance for their models, the companies can ...

Collecting, cleaning, organizing, and securing that data for AI and machine learning have become a project in itself—a governance endeavor ... logical and physical models to accommodate them.

Generative AI introduces new risks, challenges, and opportunities for how organizations source and use data. Here are four ways data governance teams are rising to the occasion. Data governance ...

Because if you don't have good data governance, you'll likely have some "interesting ... I think this is very important for Microsoft to get right -- Large language models (LLMs) present a whole new ...