Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic AI-enabled features to improve autonomy and speed.

Efficiency in AI development, paired with open source sharing in the industry, can help empower startups and enterprise ML teams to compete with tech giants. Instead of wasting budget and human time ...

The go-to for data scientists seeking huge datasets. Thousands of datasets span themes from AI to finance to health, and they ...

Open source apps are usually leaner and more efficient. Without ads, constant tracking pings, or unnecessary permissions, ...

From tracking sanctions to fact-checking elections, the world’s largest free knowledge graph is proving that open data beats ...

Overview Grok 2 is now open source, making advanced AI more accessible.It can automate workflows, analyze data, and improve ...

The company has unveiled two new open-weight language models, gpt-oss-120b and gpt-oss-20b, marking the firm's first public release of freely available AI model weights since GPT-2 in 2019, long ...

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

Payments processor Visa has shuttered its open-banking business in the United States, according to a source familiar with the ...

America’s data systems are facing a crisis, but like any crisis, this one can open up new possibilities. Federal data serves a huge constituency that ultimately includes every American.