Overview Data analytics examines structured datasets to uncover trends, patterns, and actionable insights effectively.Big data analytics processes massive, comp ...

OpenAI hardware leader Caitlin Kalinowski has resigned after the company’s Pentagon AI deal, citing concerns over surveillance, autonomy, and governance.

Savvy developers are realizing the advantages of writing explicit, consistent, well-documented code that agents easily understand. Boring makes agents more reliable.

Teradata Enterprise Vector Store unifies structured and unstructured data with agentic capabilities across hybrid ...

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

Testing is where Thailand's AI adoption often pays off quickly, because it reduces waiting. AI can draft unit tests from code, suggest regression ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

BBVA has developed an artificial intelligence assistant using ChatGPT Enterprise to support its Internal Audit teams in conducting data-intensive audits more efficiently and consistently. The tool ...

But here's what that framing misses: the real challenge isn't just building AI systems. It's knowing when and where to adopt ...

State of Automotive Software Development Report. The transition of the automobile from a mechanical marvel to a sprawling, intricate digital landscape has reached a volatile ...

Spec-driven development doesn’t just change how we work with AI; it fundamentally improves the quality and sustainability of the software we build.

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