Modern analytics pipelines often follow the medallion architecture, which organizes data into Bronze (raw), Silver (cleansed) ...

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

The new framework solves AI's "data bottleneck" by automatically generating high-quality training examples from raw screen ...

Saptaparna Gupta's Data Quality Control Assessment (DQCA) proactively embeds quality checks into financial workflows, ...

The rise of artificial intelligence is driving a surge of data center construction across the United States, and rural ...

The quality of Labor Department reports guides everything from investment decisions around the globe to Federal Reserve ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Cisco Germany management board member Detlev Kühne discusses how the technology giant tackled its AI transformation — and his key takeaways.

Brands that separate personal profiles from professional ones are missing an important opportunity to deliver truly relevant experiences. Natalie Cunningham, Data Axle’s SVP of Marketing, explains why ...

For the October Hoard’s Dairyman webinar, Ruegg highlighted some key KPIs that have significant effects on this aspect of ...

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding ...