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

The marketing world is driven by data, but its quality is of major importance. Avoid bad data practices and learn the advantages of high-quality data.

The former head of the Office for National Statistics has warned that a drive to restore the quality of the UK’s economic data must not prevent the agency doing crucial work in other areas such as ...

EXLS is a high-return, capital-light data and AI company with durable growth. Click here to read why EXLS stock is a buy for ...

For caretech providers, using data goes beyond compliance. Expert Tanya Johnston explains how data can be used to optimize ...

Nobody’s against fitness for children. But health secretary Robert F. Kennedy Jr.’s proposal to make physical activity a ...

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.

Organizations average 42/100 on data trust maturity, with the lowest scores in remediation and quality, as AI and regulatory demands expose weaknesses that slower-moving environments once masked ...

Only 12% of businesses trust their AI data. Learn why data integrity is essential for reliable, scalable, and risk-free AI ...

The federal star rating for hospitals is designed to help patients and families make informed decisions about their health ...

It was a data quality problem that looked like a business performance issue until forensic analysis revealed the truth. According to a Gartner report, organizations lose an average of $12.9 million ...

Data Quality Solutions and Services for Data Quality include Master Data Management, Data Cleansing, Data Deduplication, Address Verification, Customer Contact Data Management, Customer Relationship ...