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 ...

Test automation and DevOps play a major role in today's quality assurance landscape. As we know, software development is evolving at a rapid pace. This requires finding robust ways to invest in ...

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 ...

The pharmaceutical industry’s approach to data integrity has been historically manual, leveraging physical documentation and potentially unreliable paper-based ...

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 ...

Suggested Citation: "4 Experiences with Quality Management Systems." National Academies of Sciences, Engineering, and Medicine. 2019. Assuring Data Quality at U.S. Geological Survey Laboratories.

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.

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 ...

TYSONS CORNER, VA, Feb. 13, 2017 ” The Department of Homeland Security‘s Office of Biometric Identity Management has awarded NTT Data a multi-year, $8 million contract for independent system-level ...