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 ...

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 ...

During a White House Innovation Day in July, Adam Thiel, deputy secretary of public safety and homeland security for Virginia, pictured below, discussed the opportunities — and challenges — for using ...

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 ...

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 ...

Government Technology has covered the many ways public-sector agencies are utilizing predictive analytics to become smarter about services, but an area where there’s room for growth is in managing ...

Police departments, like everyone else, would like to be more effective while spending less. Given the tremendous attention to big data in recent years, and the value it has provided in fields ranging ...