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, we’ve figured out how to track, collect, store and query data, but ...

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 ...

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.

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 ...

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.

From cost reduction to improved efficiency, upholding data quality improves the accuracy of analytics and enhances business decision-making capabilities. However, simply having a data quality ...

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 ...

"There is no AI strategy without a data strategy," said Ron Shevlin, Chief Research Officer at Cornerstone Advisors and author of the report. "Financial institutions that invest in improving data ...

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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