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 ...

High-quality AI outcomes largely depend on how data is captured, ingested and contextualized, especially in AI that is purpose-built for your industry.

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

Chinese AI firm DeepSeek has not shown U.S. chipmakers its upcoming AI model for performance optimization, breaking away from standard industry practi ...

OpenAI’s internal AI data agent searches 600 petabytes across 70,000 datasets, saving hours per query and offering a blueprint for enterprise AI agents.

Electronic health records (EHRs); insurance claims; patient registries; wearable tech: Never before has health data been so abundant. However, the United States continues to struggle with siloed ...

Data platforms have moved from static, disconnected systems to integrated environments where analytics and real-time data ...

The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will take to become an organisation transformed by data usage by 2030. This ...

Quid Expands Its AI Ecosystem with Enterprise Integrations via MCP, Slack and Microsoft Teams and The Industry’s ...

Anthropic says Chinese AI firms are copying Claude, drawing online ridicule and scrutiny of AI training practices.