Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Some of the most significant changes include what GLP-1 users eat at restaurants. Technomic data shows that one-third of ...

Learn the difference between Excel COUNT and COUNTA, plus TEXTBEFORE and TEXTAFTER tricks, so you clean text and totals with ...

These strategies bring teachers together and naturally generate evidence of coaching’s impact on student learning.

A giant functional atlas of immune cells in a Chinese cohort reveals crucial differences with European and Japanese data sets ...

What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...

Former Flatiron Health exec Marta Bralic Kerns raised $92 million to expand her virtual care model to women at all stages of ...

Skift Data + AI Summit returns on June 3, 2026, bringing together senior travel leaders to share how data and AI are actually ...

Contractors saw backlogs on projects in 2025, with some expecting a continued trend in 2026 due to difficulty finding ...

As we head into 2026, continuous education around the nuances and misconceptions of AI will support process industries—and ...

The Milwaukee police chief and the mayor released crime data from 2025 on Thursday, Jan. 8. The data shows homicides ...

The key is looking for changes that are about to happen, rather than ones that have already happened.