In today’s data-driven economy, reliability is the true differentiator. It’s no longer enough to deliver data; we must ...

"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 ...

The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...

Everyone wants to talk about chatbots, machine learning models, generative AI tools, and AI agents. What they don’t want to ...

Tamr, an AI-native master data management (MDM) solution, is launching Curator Hub, a new module that helps organizations tackle quality issues in their data-and prepare it for successful generative ...

Additionally, the firm wrote in its research report, poor data quality and misaligned tools limit agility. And, while nearly ...

After you have implemented your CRM system, how can you ensure that the data coming in is clean, correct and up-to-date? Not only that but how can you make sure it stays clean? Accurate data quality ...

New data classification feature transforms how enterprises build high-quality training data, delivering up to 80% faster results and 25% improvement in consistency, without sacrificing quality SAN ...

A data audit helps you understand where collection methods are falling short, quality may be compromised & usage simply isn’t ...

As data is quickly becoming a significant corporate asset, lawyers in corporate transactions need to consider the associated legal risks. Failure to understand and address these risks can result in ...

This is the second in a series of deep dives from AdExchanger on mobile fraud and mobile data quality, including guides to fraud tactics and threat vectors and practical solutions from advertisers in ...