Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. In today’s rapidly transforming world, Data has emerged as a key ...

Explore the best practices to improve data quality and maximize the value of your data assets. Data quality, the condition of an organization’s data in terms of consistency, accuracy, reliability, and ...

In today's data-driven healthcare landscape, medical imaging stands at the forefront of diagnosis and treatment planning. From X-rays and MRIs to CT scans and ultrasounds, these images provide crucial ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

REDWOOD CITY, Calif., June 27, 2023 (GLOBE NEWSWIRE) -- Alation, Inc., the data intelligence company, today announced at Snowflake’s annual user conference, Snowflake Summit 2023, the launch of the ...

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. AI is smart, but only as smart as we make it. This basic de ...

As the push to integrate artificial intelligence and increase interoperability evolves, Clinical Architecture sees a dire need for tools that can assess the quality of healthcare data. Poor quality ...