News

Kirsty Biddiscombe of NetApp explains the benefits of being frugal with data and how it'll help your organisation to run more ...
Since its birthday over 250 years ago, the U.S. Army Corps of Engineers has prided itself on delivering quality projects on time and on budget. For ...
Raytheon UK’s CTO, training transformation services, anticipates metacognition will create safer training data.
The micro stage might not generate headlines, but it generates trust—and trust is the currency of effective AI. When done well, it ensures your models aren’t being sabotaged by hidden errors or ...
SALT LAKE CITY, June 26, 2025 /PRNewswire/ -- Data Quality Co-op (DQC), the insights industry's first independent clearinghouse for data quality measurement, has released a new white paper ...
IEEE Spectrum on MSN1mon
Why JPEGs Still Rule the Web
But it wasn’t the one the Web started with. In fact, the first mainstream graphical browser, NCSA Mosaic, didn’t initially support inline JPEG files—just inline GIFs, along with a couple of other ...
Nevertheless, data preparation goes beyond standards to frequency of collection to data format consistency with the appropriate level of granularity. “The single best practice I see is to have proper ...
Everyone relies on data differently depending on their goals and interests, which means the implications of data quality varies depending on who’s using it.
Data structuring techniques vary based on the type and purpose of the data. For example, relational databases store data in tables with rows and columns, making them ideal for structured data.
Moreover, he believes it will become increasingly important as more enterprises deploy AI applications, which need high quality data for accuracy.
In January/February 2025, an assessment was undertaken of the data quality of the public sector debt statistics (PSDS) of Malawi against the IMF’s Data Quality Assessment Framework (DQAF) for PSDS.
As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprise’s core has never been more significant.