AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...

For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered applications and agents. When Miqdad Jaffer, product lead at OpenAI, challenged ...

The shift to service as software will bring learning curve advantages, software-like marginal economics, and winner-take-most dynamics to all companies across every industry, not just tech vendors. We ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Presented by Google Cloud Data governance ...

“Start thinking like your new user (AI) and speak YAML,” he noted. O’Brien explained that semantic layers within data fabric means moving beyond data access to data usability. Data abstraction is ...

Enterprise AI has moved past the "experimental" phase. Recent research from Anthropic shows that a majority of organizations now deploy AI agents to run multistep workflows, with many trusting those ...

Sovereignty isn’t just policy, it's operational: the companies that control their data pipelines will be the ones that ...

Modern MarTech stacks are evolving into integrated systems combining data, identity, AI decisioning, and orchestration. Success now depends on architecture, not just tools, as enterprises move toward ...