The idea is to let software continuously profile the data itself, learn what normal looks like and flag deviations without a ...

Reverse phone lookup looks like a search problem. Underneath, it is really a data quality and identity resolution problem. Enter a phone number and the desired ...

PHILADELPHIA--(BUSINESS WIRE)--Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today released a new survey of 500 professionals working with AI ...

Sandesh Gawande, with 29+ years of experience in data and CEO of iceDQ: We engineer data reliability, because quality is never an accident. Organizations are investing heavily in AI and big data ...

The data purgatory hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, and accessibility. Fast Company has put a spotlight on the make-or-break ...

One of the most important steps that data teams can take to ensure data quality is to launch a data cleansing initiative. Data cleansing refers to the process of scrubbing data to identify and correct ...

For all the enthusiasm surrounding artificial intelligence, digital transformation, and cloud modernization, one fundamental truth continues to surface: None of it works well without high-quality data ...

Data observability specialist Monte Carlo on Monday unveiled root cause analysis capabilities aimed at making it faster and easier to identify and resolve data quality incidents. The vendor's new root ...

Stability problems can derail promising biologics late in development. Bringing high-throughput testing earlier into ...