The basic problem of a theory of truth approximation is defining when a theory is “close to the truth” about some relevant domain. Existing accounts of truthlikeness or verisimilitude address this ...

Hightouch’s new AI-powered identity resolution service lets marketers ‘toggle’ confidence levels for more precise or broader reach – all within their own data warehouse Marketers frustrated by ...

This article is sponsored by Eyeota. The United States stands alone when it comes to its insistence on a predominantly deterministic approach to data-driven marketing. Because of that, the ongoing ...

Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by AJ Brown, CEO and co-founder of LeadsRx.

Probabilistic Safety Assessments (PSA), which was introduced in the 1970s as complement to deterministic safety analysis methods, is a well-established tool that supports design and safety assessment ...

Understanding complex systems requires reasoning about causal relationships that behave or appear to behave probabilistically. Features such as distributed agency, large spatial scales, and time ...

What Is A Probabilistic Model? A probabilistic model is a statistical tool that accounts for randomness or uncertainty when predicting future events. Instead of giving a definitive answer, it ...