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

The data purgatory hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, and accessibility. Fast Company has put a spotlight on the make-or-break ...

Holy Scripture and the capital markets seldom intersect, but the struggle for high-quality data within the private markets is reminiscent of the proverb, “In the land of the blind, the one-eyed man is ...

To learn more about our editorial approach, explore The Direct Message methodology. Twenty-three years ago, researchers dropped a bombshell: bad data was costing American businesses $600 billion ...

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 ...

Data quality is the top barrier to AI in revenue cycle management, according to a report from Black Book Research. Black Book surveyed 149 revenue cycle leaders between Nov. 1-11 to examine how ...

We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, one thing is fundamental: AI is only as good as the data it was trained on. Unlike people, who can draw on ...

In this episode of Need to Know, our series covering the topics and issues influencing markets and the global conversation, Michael Beal, Co-Head of Enterprise Data Science at Bloomberg, discusses the ...

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 ...