Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...

AIGC is transforming agricultural decision-making by enabling automated recommendations in irrigation, fertilization, pest ...

Have you ever wondered how to bring fairness to the classroom using "data validation" and "data quality assurance"? We've developed an exciting toolset, built on the foundation of the Peer Review ...

At the very core of decision-making and business performance, lies data quality. When a company’s fundamental data is unreliable, of poor quality or just plain incorrect, even the best technologies ...

RegTek.Solutions, announced the launch of Validate.Trade for SFTR, the only independent data quality assurance solution for ESMAs Securities Financing Transaction Regulation (SFTR). Using the ...

Ability to combine 2D and 3D datasets enables Appen to support industry’s most complex machine learning training data requirements “It isn’t enough for vehicles to perform well in simulated or good ...

Accreditors have a role to play in helping colleges make better use of the data they collect, Maria Toyoda writes.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More We’re in the midst of a data revolution. The volume of digital data ...

Founded in 2020, Synthesized helps enterprises like Deutsche Bank and UBS accelerate software quality assurance.

Everyone is interested in getting more data. Few consider that more data is not always better if the quality is low. Quality assurance is an enormous problem, plaguing numerous organizations. In fact, ...