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.

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.

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, ...

Business leaders love fitting problems with solutions. That equation only works when you're solving the right problem.

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 ...

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 ...

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 ...

Discover what problem loans are, how they affect both borrowers and lenders, and strategies for managing or mitigating their risks effectively.

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 ...

When AI delivers bad answers, it’s reflecting your messy data. Here’s how to build a disciplined data foundation that drives ...