Modern B2B data analytics is the practice of turning streams of B2B transaction and customer data into actionable insights ...

NEW YORK, Sept 24 (Reuters) - U.S. bond firm DoubleLine said on Wednesday it is using a variety of official and private data sources to assess the health of the U.S. economy, as it is worried about a ...

Navicat Premium for Mac is a powerful database administration tool that supports MySQL, PostgreSQL, SQL Server, Oracle, and more. Navicat Premium for Mac is a comprehensive database management and ...

Abstract: Seismic interferometry (SI) is widely used to retrieve surface waves for linear arrays from anthropogenic noise in urban environments. It is difficult to accurately retrieve the surface-wave ...

The UK statistics agency is embarking on a fresh purge of its published data and ramping up the hiring of economists as part of a reset to help breathe new life into its stalling turnaround efforts.

Abstract: Split learning (SL) aims to protect user data privacy by distributing deep models between the client-server and keeping private data locally. In SL training with multiple clients, the local ...

If poor quality, incomplete, biased, or sensitive data is fed into AI models, the results will be equally flawed, leading to sensitive data leaks and inaccurate predictions—both of which create ...

This fall, as prospective students embark on the college admissions process, they—like millions before them—will turn to information sourced from one of the most reliable higher education data sets: ...

Choosing where to live in adulthood requires one to look at several factors. Access to healthcare, affordability, education and the environment -- all things to consider when planting roots in a new ...

Megan Cerullo is a New York-based reporter for CBS MoneyWatch covering small business, workplace, health care, consumer spending and personal finance topics. She regularly appears on CBS News 24/7 to ...

AI is reshaping brand engagement, but its effectiveness relies on high-quality, curated data, a significant challenge for many. Brands must prioritize data readiness, integrate tailored AI models, and ...