According to the study, 46% of financial services leaders rank improving data quality and accuracy as their top priority, and 38% say it’s their biggest challenge. The report shows that scaling AI ...

Tech-savvy insurance providers are using AI-powered algorithms to automate underwriting needs and moderate risk.

Healthcare data is uniquely sensitive and uniquely enduring. A credit card number might be canceled in days; a lab result, ...

The authors report that the overwhelming majority of respondents identified data quality, rather than model sophistication, ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

As distribution companies absorb electric vehicle (EV) load growth, aging assets, extreme weather and a decarbonizing grid, ...

At its core, Artificial Intelligence (AI) is the product of two components –the first is data and the second is algorithms. Diverse types of algorithms exist, each potentially displaying a level of ...

Data clustering remains an essential component of unsupervised learning, enabling the exploration and interpretation of complex datasets. The field has witnessed considerable advancements that address ...

The recent paper studies algorithmic pricing through the lens of game theory, an interdisciplinary field at the border of ...

The biggest-ever study of real people’s mortgage data shows that predictive tools used to approve or reject loans are less accurate for minorities. We already knew that biased data and biased ...

White House press secretary Karoline Leavitt said she was "100% confident" the deal between the U.S. and China is finalized.