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 ...

Chris Hayhurst is a freelance writer who covers education technology and healthcare, among other topics. He's a regular contributor to the CDW family of technology magazines As more colleges and ...

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 ...

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, ...

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 ...

Over the last few months, I have heard various experienced and knowledgeable experts state (emphatically no less) totally contradictory opinions regarding quality assurance (QA), quality control (QC), ...

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 ...

Breakthrough capability reduces review rates from 100% to as low as 10% while maintaining rigorous SLA compliance and 95%+ quality scores SAN FRANCISCO, CA / ACCESS Newswire / October 14, 2025 / Sama, ...

Fintech operates under constant regulatory pressure. At the same time, competitive pressure demands speed, innovation, and intelligent automation. Risk and compliance systems sit at the...Read More ...

Data is everywhere in baseball now. Since it’s so ubiquitous, you’d think there would be little advantage when it comes to the numbers that fuel game-day preparation. But many believe there still is ...

The advent of artificial intelligence (AI) and data-driven methodologies has triggered a wave of transformation in regulatory compliance and quality assurance for the development of medical devices.