Business users don’t think in terms of data structures. They think of outcomes. They need to understand customers, evaluate ...

In healthcare, AI’s enduring rule is that a model is only as good as the clinical data accuracy behind it. Discover how this lesson that traces back to the 1980s.

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Perspecta today announced the release of The State of Provider Data Accuracy, a comprehensive research report examining data quality challenges across U.S. health plan provider directories. Drawing on ...

Database maintenance is one of the least glamorous aspects of B2B marketing. But it’s arguably the most critical. Successful campaigns and strategies rely on accurate, high-quality data as their ...

As the COVID-19 pandemic has shut down offices, people have taken to working remotely, and many have even moved from locations where the cost of living is high to places where it’s more manageable.

Parts databases for the electronics industry may be the best way to find parts and to get details about them, but they're also remarkably incomplete, or just plain wrong. Even at 95 percent ...

The flood of digital information increases the need for accuracy - including knowing which data to leave out. Remember when we used to ride around in our cars and listen to AM radio? Maybe you're not ...

As more police agencies transition to the FBI's National Incident-Based Reporting System for crime reporting, a study of one state's data found that a design flaw in NIBRS, the timings of arrests and ...

This section addresses how to coordinate vendor advanced shipping notices, auto-discovery data, and bar code & RFID physical asset tracking data into one comprehensive and integrated IT asset tracking ...

Researchers have developed a method for extrapolating sea surface temperatures from sparse data that is significantly more ...