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 ...

Data-driven decisions require data that is trustworthy, available, and timely. Upping the dataops game is a worthwhile way to offer business leaders reliable insights. Measuring quality of any kind ...

Firms that fail to shine light on their dark data risk ceding the high ground in insights and inviting risk exposures lurking ...

Quality data is the cornerstone of good business decisions. To ensure your data is high quality, it must first be measured. Organizations struggle to maintain good data quality, especially as ...

AUSTIN, Texas, Jan. 25, 2024 — data.world, the data catalog platform company, has announced an integration with Snowflake, the Data Cloud company, that brings new data quality metrics and measurement ...

I’ve written elsewhere about the value of grounding your metrics program in semantics.1 This article goes well beyond that.

To train artificial intelligence (AI) models, researchers need good data and lots of it. However, most real-world data has already been used, leading scientists to generate synthetic data. While the ...

The evolution of health care quality metrics over the preceding decades illustrates an enduring commitment toward enhancing patient outcomes, refining the structure of health care delivery, and ...

The National Committee for Quality Assurance is adding metrics to the Healthcare Effective Data and Information Set to track how well insurers address health disparities. The update adds some race and ...

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.