In 2026, data analysis roles still depend heavily on two practical tools: Excel for cleaning, checking, and working through business data, and Tableau for turning that data into dashboards people ...

Overview Modern Python automation now relies on fast tools like Polars and Ruff, which help cut down processing time and ...

Overview Python is the programming language that forms the foundation of web development, data science, automation, and ...

Compliance continues to drive adoption of trusted open source: We saw the same themes from December present here, underscored ...

In recognition of 21 GenAI risks, the standards groups recommends firms take separate but linked approaches to defending ...

Expert tips for reporting on the impact of the resource-hungry data storage facilities that power AI — from water exploitation to greenwashing to flouting environmental regulations.

AI is transforming data science, but scaling it remains a challenge. Learn how organizations are building governed, ...

Or, why the software supply chain should be treated as critical infrastructure with guardrails built in at every layer.

From fishing quotas in Norway to legislative accountability in California, investigative journalists share practical, ...

SANTA CLARA, CA - March 28, 2026 - - As organizations continue to expand their use of data to inform decision-making, the demand for data scientists is rising across industries including technology, ...