Data is the foundation of modern business strategy and the fuel for AI applications. It drives decision-making, optimizes operations, and creates personalized customer experiences, enabling businesses ...

Data quality issues emerge from multiple failure points from development practices to production life cycle, each compounding ...

A global survey by Dun & Bradstreet highlights rising cyber threats and data quality issues in financial services, impacting AI adoption and decision-making. Despite increased risk mitigation spending ...

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

It’s no longer how good your model is, it’s how good your data is. Why privacy-preserving synthetic data is key to scaling AI. The potential of generative AI has captivated both businesses and ...

There are wide discrepancies in data quality for hotel transactions across global regions, with the largest occurring in Asia-Pacific. Because hotels and agencies need to harness data quality to ...

Overview AI in agriculture promises higher efficiency, better yields, and data-driven farming decisions, but real-world ...

Infogix, a leading provider of data management tools and a pioneer in data integrity, debunked seven popular data quality myths that are doing businesses more harm than good. According to a recent ...

Avnet survey shows 77% of engineers see better market conditions as AI adoption in product development continues to ...

Over half of fund administrators surveyed struggle with data acquisition and governance New York, 12 February 2025: Accelex, a leading provider of AI automation for private markets data acquisition, ...