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 ...

Artificial intelligence is no longer just a buzzword; it's a transformative force reshaping industries, from healthcare to finance to retail. However, behind every successful AI system lies an ...

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 ...

In healthcare, the costs are not merely financial. Incomplete, inconsistent or delayed electronic health records can lead to ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. CIOs and CDOs everywhere are busy chasing after AI, but many are getting ahead of themselves ...

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 ...

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.

Data quality is important—no doubt about it. But like any new data practice, developing a scalable data quality strategy doesn’t happen overnight. And what you need today may not be what you need ...

February 26, 2025 - The legal industry stands at a pivotal moment, driven by advancements in generative artificial intelligence (GenAI) technologies that are challenging established norms in the legal ...

As the “cloud wars” between Amazon, Google, and Microsoft rage on, Chief Data Officers (CDOs) face their own battle: ensuring data quality while embracing cloud migration. The cloud unlocks ...

Moving to the cloud may seem, on its surface, a good way to better manage the quality and viability of data resources for enterprises. However, as data accelerates its move to the cloud, the ...

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