In this year’s awards from the Center for Digital Government, the 54 winning counties used both traditional and emerging technologies to make meaningful change for residents and staff.

Companies engaged in international trade often refer broadly to "sanctions compliance" without recognizing that U.S. trade ...

A University of Malta-led project is using artificial intelligence to help astronomers analyse vast numbers of radio ...

Moving beyond one-shot prompts into controlled agents that operate across systems, surface exceptions, and turn manual finance work into repeatable workflows.

The NAWR fires back at an LA Times op-ed calling for alcohol to be stigmatized like tobacco, arguing the comparison is ...

When your organization handles sensitive data, the right destruction equipment isn’t a luxury, it’s a necessity. The stakes ...

Most companies have a lot of useful data in their procurement departments, but it's hard to find because it's all over the place. You have a lot of purchase orders, invoices, and records from ...

Abstract: Class imbalance can substantially affect classification tasks using traditional classifiers, especially when identifying instances of minority categories. In addition to class imbalance, ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

In today's digital landscape, organizations face an unprecedented challenge: managing and protecting ever-growing volumes of data spread across multiple environments. As someone deeply involved in ...

Data clustering and classification have become indispensable for extracting actionable insights from large-scale, heterogeneous datasets characterised by high volume, velocity and variety. Clustering ...