Why Data Quality Should Start At The Beginning, Not The End

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

Out of the bad data purgatory: How to solve the data challenges slowing your AI initiatives

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 ...
InfoWorld

Solving the data quality problem in generative AI

It’s no longer how good your model is, it’s how good your data is. Why privacy-preserving synthetic data is key to scaling AI. The potential of generative AI has captivated both businesses and ...
Forbes

Data Quality For Business: Metrics To Measure And Understand

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 ...
SD Times

The hidden crisis behind AI’s promise: Why data quality became an afterthought

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 ...
Becker's Hospital Review

The top barriers to AI in RCM

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 ...