Burgeoning volumes of work and workforce data present organizations with growing opportunities to develop data-driven insights that can significantly shape organizational strategy and success.

Data was once tangible and tactile. Managing physical files, paper documents, and standard records was relatively straightforward. Today, however, those sources have grown increasingly complex, ...

When we talk about artificial intelligence (AI) in business and society today, what we really mean is machine learning (ML). This refers to applications that use algorithms (a set of instructions) to ...

The AHEAD Institute warehouses large, research-ready databases to meet your project's needs. Many databases are de-identified and using them has been deemed non-human subjects research by the Saint ...

Shift-left governance catches data problems early, but not every rule can be set at the source. See what changes once data is ...

Most of the analysis in Chapter 1 is based on the Current Population Survey (CPS). The CPS is collected monthly by the U.S. Census Bureau for the Bureau of Labor Statistics. The survey is the basis ...

Organizations struggle with data sprawl, which limits timely, accurate decision-making. Only 4% of organizations have real-time insights into their data, according to a recent survey conducted by ...

Forbes contributors publish independent expert analyses and insights. Robert, founder of KramerERP, covers AI, ERP, SCM, data and security. In 2025, enterprise data platforms support business ...

Economic stories are often built on data. This information can shape how the public understands financial conditions, government policy and business performance. But in our data-saturated information ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...