Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

NTT Data's expanded partnership will focus on enterprise agentic AI deployment at scale, leveraging AWS cloud technologies.

The implications of AI for data governance and security don’t often grab the headlines, but the work of incorporating this ...

While everyone focuses on synthetic data’s privacy benefits — yes, Gartner forecasts it represented 60% of AI training data ...

How will the Model Context Protocol shape AI development? Learn how MCP standardizes data access, enhances context awareness, and secures Web3 AI agents.

Singapore researchers show how adapting pre-trained AI models can solve data scarcity issues in countries with limited ...

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.

Discovery of structured data for litigation and investigations isn’t new, however, the proliferation of enterprise-wide ...

Every day, thousands of images and signals are collected at sea. Sonar, buoys, satellites, and cameras installed on ships generate enormous amounts of data. Artificial intelligence (AI) is already ...

Research led by education policy scholar Ken Wong is helping to guide the Rhode Island city’s transition from state to local ...

Real-world examples like RWE generation and infrastructure initiatives such as DARWIN EU demonstrate how standardized, ...

From GDPR requirement to U.S. State risk-assessment mandates, DPIAs and PIAs are essential governance tools for the modern data economy. What Is ...