In healthcare, the costs are not merely financial. Incomplete, inconsistent or delayed electronic health records can lead to ...
Barr Moses is the CEO and Co-Founder of Monte Carlo, a data reliability company funded by Accel, GGV, and others. In the last decade, weāve figured out how to track, collect, store and query data, but ...
Marketers know that quality matters ā and here's yet more proof. But breaking old habits in digital media is easier said than ...
We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...
Just as a house must have strong foundations to be built upon and improved, organizations need to invest in a strong data foundation to realize the true benefit of AI.
Good data quality is crucial for successful data and analytics initiatives and is increasingly pivotal to artificial intelligence impact. D&A leaders, including chief data and analytics officers, are ...
Accurate trustworthy data is at the foundation of any modern data initiatives. Those in pursuit of an effective data quality strategy need to think about fostering a data-driven culture with a ...
AI, machine learning, and edge computing may be all around us, and these technology endeavors all have one important thing in common: Their success depends on the quality of the data fed into them.
Fifty-five per cent of businesses say they are being let down by data quality technology. Joel Curry, MD of Experian Data Quality, explains how to ensure your data quality strategy works Most ...
Unsustainable healthcare costs are driving seismic changes to the way payers do business and are requiring the ability to extract deeper insights from data assets. Unsustainable healthcare costs are ...
The U.S. Census Bureau said on Wednesday it was adopting several strategies, including shortening the window for Principal ...
How to create a data integration strategy for your organization Your email has been sent Despite the global digital acceleration of data use cases, many companies still struggle to be data-driven.
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