Tal Melenboim, the visionary behind VFR.ai and StyleTech.ai, champions the cause of high-quality data as the cornerstone of ...

Data quality is a complex and context-dependent concept often misunderstood across business, technology, process, and data science domains, with each attributing different issues to it.

As data becomes everything to everybody, it’s crucial to oversee the quality of information that runs through an organization.

No matter how sophisticated the AI model, its power depends on the quality, structure and context of the data beneath it.

Key findings show organizations averaging just 42/100 on data trust maturity, with the lowest scores in areas such as remediation workflows, policy enforcement, and reference/master data quality.

A new study released Thursday by research group Epoch AI projects that tech companies will exhaust the supply of publicly available training data for AI language models by roughly the turn of the ...