Users can instantly recreate AI-generated insights in their existing BI and data analytics tools and use Collections to organize multiple insights around business initiatives OAKLAND, CA, Dec. 13, ...

Earlier this week, the Democratic race for president was seemingly rocked by a Monmouth University poll showing former Vice President Joe Biden falling from 32% to 19%. The poll, which had Biden in a ...

Identifying outliers in a data set is conceptually cut and dry. Extremes, by definition, should be conspicuous. But in practice, labeling outliers is a mix of art and science, in part because ...

Our friends over at Noah Data have written a research style paper, Introduction to Statistical Analysis and Outlier Detection Methods, that discusses how statistical data can generally be classified ...

Outliers deviate from the norm—significantly enough to give marketers pause. But outliers can tell us more about our data, how we gather it, and what is in it, if we examine the entire data set ...

In recent updates to this series (see list below) I’ve been looking at various methodologies to identify extreme values in a time series, such as the S&P 500 Index. One motivation for this analysis is ...

OAKLAND, Calif., Dec. 13, 2021 (GLOBE NEWSWIRE) -- Outlier AI, the leading automated business analysis (ABA) platform, today released new features that enable users to move from automated AI-generated ...

In several cases, when the one-year performance is close to or reaches the outlier, this point marks an extreme return that begins to reverse. When the S&P 500 one-year return briefly exceeded 70% in ...