When did we marketers start believing — really, truly believing — that we could predict the future? Let's ask the question in a data-based way: How strong is the proof of data-based, predictive ...

Gibbs-type random probability measures, or Gibbs-type priors, are arguably the most “natural” generalization of the celebrated Dirichlet prior. Among them the two parameter Poisson–Dirichlet prior ...

Han Solo ignores C-3PO's advice. Stakeholders involved with predictive AI must ramp up on a semi-technical understanding that comes down to 1) what's predicted, 2) how well and 3) what's done about it ...

H V Jagadish's research on Big Data is funded in part by the National Science Foundation and the National Institutes of Health. The term “predictive policing” suggests that the police can anticipate a ...