Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Those who pair innovation with disciplined execution will be best positioned to scale AI responsibly, intelligently and with ...

Months after announcing a new program to validate self-reported nursing home quality data, the Centers for Medicare & ...

AI-augmented research can speed up processes such as literature review and data synthesis. Here, Ali Shiri looks at ...

Founded in 2023 by Adarsh Srivastava and Balasubramanian P, CtrlB is an AI startup that helps teams collect, store and ...

India’s statistical challenges call for the urgent need for timely, credible data to ensure policies are based on fact, not ...

For instance, solutions like eWizard flag errors, from missing references to inappropriate images or typos. And when ...

While accounting for only one percent of sales, with the company facing more than 40,000 quality claims a year – totaling ...

Blowing oxygen into molten steel in vacuum conditions saves time and money when compared to conventional steelmaking methods.

Although most modern organisations possess extensive data, a subtler challenge persists: a lack of understanding regarding ...