This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Zehra Cataltepe is the CEO of TAZI.AI, an adaptive, explainable AI and GenAI platform for business users. She has 100+ AI papers & patents. In many industries, including banking, insurance and ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

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.

A little over a decade has passed since The Economist warned us that we would soon be drowning in data. The modern data stack has emerged as a proposed life-jacket for this data flood — spearheaded by ...

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 ...

Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...

The Asian American health narrative is situated within the complex interplay of racialized history, immigration patterns, and policies regarding Asians in the United States—a dynamic that has ...

Linying Dong is affiliated with Ryerson University, and volunteers at the Board of Directors of Carefirst. Karim Keshavjee is the CEO and majority shareholder of InfoClin Inc, an organization that ...