Dr Ranjith Gopalan explains how intelligent data validation ensures trust in enterprise systems by automating anomaly detection and enhancing AI explainability.

With the volume of new data now measured in the hundreds of exabytes each day and Web 3.0 becoming a thing, businesses are in need of advanced analytics and big data tools that can turn that data into ...

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 ...

The rapid spread of Artificial Intelligence (AI) systems in recent years has overlapped with the enactment of comprehensive privacy laws by multiple U.S. states. Aside from being generally applicable ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

The UN Committee on the Elimination of Racial Discrimination (CERD) issued guidance on Thursday for police and border guards to combat racial profiling, placing special emphasis on “the serious risk ...

Data quality assessments help you avoid introducing errors into your database. Learn how they work and why you need them. Image: Sikov/Adobe Stock Data quality assessments have the same goal that data ...