The difference between AI success and failure often comes down to five strategic choices that leaders make about their data ...

As the vibrant hues of fall begin to appear, businesses should consider using this season as an opportunity to enhance key areas of their operations. One such critical area that can benefit from ...

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 ...

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 ...

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 ...

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 ...

As artificial intelligence transforms every industry, organizations are placing an increased focus on the quality of their ...

In modern enterprise data platforms, data quality and data governance protocols are essential to ensuring the reliability, ...

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.

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 ...

Apurva Wadodkar, Sr. Director Data & AI at TI Automotive, is a data science leader driving strategic, people-first innovation at scale. Over the last two decades, I have had the chance to roll up my ...

What does a data quality manager do? Your email has been sent A data quality manager is responsible for assessing, managing and maintaining data quality across an organization. This can include ...