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 ...
Anomalo Inc. today launched a new tool that aims to help enterprises keep check on the unstructured information that’s becoming critical to the success of artificial intelligence systems. The ...
Data observability firm Monte Carlo Data Inc. is turning its attention to unstructured information, introducing a new capability that will allow enterprises to monitor the enormous volumes of text, ...
The Association for State and Territorial Management Officials (“ASTSWMO”) published a position paper titled: DATA QUALITY ISSUES WITHIN THE HAZARDOUS WASTE e-MANIFEST SYSTEM (“Position Paper). The ...
There are wide discrepancies in data quality for hotel transactions across global regions, with the largest occurring in Asia-Pacific. Because hotels and agencies need to harness data quality to ...
AI—both generative and machine learning/statistical—is essentially dead in the water without well-vetted, timely, quality data. This is holding back AI efforts more than anticipated, a recent survey ...
Data quality is an essential aspect of any successful enterprise data management strategy. In today’s business environment, it is essential to maintain a high standard of data quality to support ...
Data managers, administrators, engineers, and analysts know more than anyone what kind of data is available to enterprises seeking to compete in the AI and analytics age. However, their perceptions of ...
Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results