Trust in AI comes down to trust in data. Enterprises underestimated that connection and now companies are racing to close the ...

Ataccama, the data trust company, is offering Ataccama Lineage, a new module within its Ataccama ONE unified data trust platform (V16) to provide enterprise-wide visibility into data flows, offering ...

Data is one of the most valuable resources in today’s global economy—yet the rules that govern it are uneven and not conducive to beneficial cross-border data flows. Four years since former Japanese ...

Today, the movement of data across borders has become as vital as the movement of goods and capital. The principle of Data Free Flow with Trust (DFFT), first popularized by Japan during the G20 Osaka ...

The latest trends in software development from the Computer Weekly Application Developer Network. The Ataccama Data Trust Summit continued into its second day with an examination of how data trust is ...

As AI adoption accelerates across industries, organizations are racing to transform the data that powers it. This is because we know that without trustworthy data, even the most advanced AI systems ...

The new EU-U.S. Data Privacy Framework (EU-U.S. DPF) reads as a good faith effort to maintain transatlantic data flows following the Court of Justice of the European ...

Data trust aims to address the challenges of managing data within today's businesses. It should address data being trapped within closed systems, often duplicated and suffering from inaccuracy and ...

Modern analytics pipelines often follow the medallion architecture, which organizes data into Bronze (raw), Silver (cleansed) and Gold (curated) layers. The idea is that each stage should refine the ...

Having a clear understanding of where your data is being consumed is a critical first step toward being able to secure and ultimately protect it. Using data flow diagrams, it is possible to know the ...