Big Data Articles

Ying Wang

Updated on August 26, 2022

Data divergence, meaning differences in results generated from old and new versions of data architecture, results from a number of issues in the pipeline. Fortunately, a relatively straightforward method exists for resolving the problem.

Rahul Agarwal

Updated on August 22, 2022

Get the most out of your machine with these techniques.

Przemek Chojecki

Updated on August 17, 2022

The AI that powers deepfakes poses all sorts of questions for consumers of media. Using a couple of simple principles, though, you can develop a sophisticated understanding of what you’re looking at.

Olusayo Adeleye Funke Aderonmu

Updated on August 12, 2022

In honor of #BlackinDataWeek, the Sadie Collective has a list of nine Black women data scientists to know.

Edward Hearn

Updated on July 18, 2022

Although researchers often spend little time discussing data preparation, it has the potential to massively alter a given study’s results. To ensure research remains useful, we need universal standards and better documentation.

Ben Lamm

Updated on July 12, 2022

To ensure AI fulfills its potential, we must democratize the technology to avoid allowing it to be yet another driver of inequality. Here’s how we start.

Quinten Dol

Updated on September 09, 2021

With this data science tool, NASA is assessing its workforce to ensure it has the skills it needs to go back to the moon — and beyond.

Stephen Gossett

Updated on July 11, 2021

Building and deploying machine-learning models isn’t computationally cheap. Here’s how to save, according to cloud and AI experts.

Tatum Hunter

Updated on October 06, 2020

Companies use stalling tactics to keep customers from getting their money back. Bots have nothing but time.

Stephen Gossett

Updated on September 02, 2020

A new toolkit offers advice on how to center racial equity throughout the lifecycle of administrative data.