By establishing the right data foundation, organizations can support the governance, reliability, traceability and quality ...

The limitation for many companies investing in AI is not the sophistication of the models being deployed, but the lack of AI-ready data.

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

The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...

It also plays a key role in understanding how intelligent AI is, preventing the misallocation of resources, and guiding ...

An AI productivity stack refers to a structured combination of tools that work together to automate multi-step workflows.

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Housing researcher Alina McKay knows there are "tensions" in British Columbia's supportive housing buildings, as tenants face ...

Roll up, roll up! Get your wallets ready for the next hype cycle: physical AI. But fear not, analysts are here to guide you.

ZoomInfo reports that successful AI integration into GTM relies on a hierarchy of Context, Timing, Targeting, and Content, ...

Litigation tests AI transparency law while highlighting compliance risks and constitutional questions for developers.

GAO’s main concern is not that agencies lack AI activity. It is that they are still not consistently preserving what they ...