The Beeck Center for Social Impact + Innovation at Georgetown University identified six archetypes of chief data officer ...

Data modeling is the blueprint that transforms raw information into structured, usable insights. By defining entities, relationships, and rules, it connects business needs to technical implementation.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they ...

Google Cloud is turning the traditional enterprise data platform on its head, unveiling the Agentic Data Cloud infrastructure ...

The future of customer data strategy is moving beyond traditional CDPs toward composable, AI-driven architectures with ...

Adeptia, an AI-native platform for Intelligent Data Automation, is releasing Adeptia Automate 5.2, introducing updates that make enterprise integrations directly accessible to AI.

Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to automated testing, AI tools are increasingly embedded in the daily ...

AI is stress-testing database infrastructure. Teams using Liquibase Community face scaling challenges that only Liquibase Secure can solve.

Nahla Davies examines what constitutes an appropriate data integrity framework, and how improper frameworks damage data quality.

Anthropic's (ANTHRO) latest AI model, Claude Mythos, which is also its most powerful, was revealed through a data leak, according to Fortune. Anthropic has already allowed some select customers early ...

Until a few years ago, schema helped search engines extract basic facts and display visual enhancements like star ratings and sitelinks. However, in the AI-driven search world, schema plays a ...

Public health systems sit on mountains of data — yet insight remains scarce. The organizations closing that gap aren’t just investing in better dashboards. They’re fundamentally rethinking who gets to ...