As AI reshapes business, traditional data storage is no longer enough. Enterprises must adopt lifecycle management to secure, ...

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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 ...

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 ...

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 ...

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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 ...

AI doesn’t need perfect data to deliver value. Here’s how CEOs can take ownership of data strategy, avoid costly mistakes, and unlock growth in the AI era.

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.

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 ...

A wall of stickers at the Qlik AI Reality Tour showed organisations eager to adopt AI but unprepared in strategy, skills, and data quality, writes JASON BANNIER.