The explosive use of big data, predictive analytics and other modeling techniques to help understand and drive outcomes in all types of organizations has significantly increased over the past decade.

A recent HBR article by Oguz Acar from King’s College London rejects the idea that Prompt Engineering is the hottest job of the future, declaring instead that problem formulation is a higher-order, ...

Opinion: If plaintiffs attorneys don’t start taking data science seriously, their legally plausible claims will unravel because the numbers behind them can’t be validated and trusted.

It’s no longer how good your model is, it’s how good your data is. Why privacy-preserving synthetic data is key to scaling AI. The potential of generative AI has captivated both businesses and ...

Lobel is a Warren-Distinguished Professor and Director of the Center for Employment and Labor Policy (CELP) at University of San Diego. She is the author of The ...

Opinions expressed by Entrepreneur contributors are their own. In 2016, IBM released a report estimating that bad data costs U.S. businesses and organizations trillion $3.1 per year. These funds were ...

Data is a company’s most powerful asset. Yet, many businesses cannibalize this valuable asset by selling it to third parties when they should be using it to make their businesses stronger and more ...

Check the COVID-19 Data Tracker from the U.S. Centers for Disease Control and Prevention (CDC), and you’ll get a rundown of the latest case numbers, hospitalizations, and deaths. Those categories ...

LONDON, March 21 (Reuters) - Britain's statistics office, already under fire for its unreliable labour market data, paused publication of industrial inflation figures on Friday, raising further ...

Most early-stage ventures and new products fail because too few customers want what’s offered. Specifically, either: 1) the product doesn’t address a strong unmet customer need; or 2) the need is real ...