MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...

Scientific Data mandates authors submit datasets to an appropriate public data repository. Data should be submitted to discipline-specific, community-recognised service where available or a generalist ...

World's biggest domain seller fears India's fake site crackdown could damage internet The world's biggest internet domain seller, GoDaddy, has warned that India's crackdown on fake websites ...

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years since that ...

The Chart of the Week showcases a valuable metric: greenhouse gas emission intensities. The data reveals significant reductions in emission intensities within agricultural and industrial sectors.

Scouring through corporate communications and broker research isn’t enough Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The ...

All articles published in Scientific Data are made freely and permanently available online immediately upon publication, without subscription charges or registration barriers. Further information ...

Modern businesses run on data. Companies regularly capture, store and analyze large amounts of quantitative and qualitative data on consumer behavior, to which they can apply predictive analytics to ...

A licensed attorney with nearly a decade of experience in content production, Valerie Catalano knows how to help readers digest complicated information about the law in an approachable way. Her ...

Updates from your News topics will appear in My News and in a collection on the News homepage. The Global Story. The Chinese cyber-attack that could have stolen data from every American. Audio, 27 ...

COMP <- rnorm(n_respondents, mean = 4, sd = 1) # Competencia (1-5) LIKE <- rnorm(n_respondents, mean = 4, sd = 1) # Simpatía (1-5) CUSA <- 0.4 * COMP + 0.5 * LIKE ...