When Data Drives Efficiency: Two Case Studies
Agencies are using data to drive operational efficiencies. Learn how Chicago uses data to improve food safety and how data gives nuclear regulators better insight into facilities needing repair.
Big Data
Promoting Efficiency With Data: Two Case Studies
Discover how two public agencies use data to promote efficiency, enhancing public safety and infrastructure management.
How Carlsbad, California Attracts New Businesses
Carlsbad, California’s approach to economic storytelling, based on geospatial data, is a blueprint for how local governments can use the tools they already have to build the communities they envision.
How to Verify Identities in a Complex Data Landscape
Government agencies must be able to accurately identify people and organizations to perform their most essential functions — delivering benefits, preventing fraud, enforcing sanctions, and more. However, this task isn’t as simple as it may seem – as agencies attempt to create an accurate picture of a user, they must do so by comparing multipleRead… Read more »
How to Analyze Survey Responses
There are multiple ways to analyze survey results, and some types of graphs (e.g., pie versus bar) may be more helpful than others.
Data Management’s Special Ingredient: Backup and Recovery
Managing data is no small feat. In this video interview, Cohesity’s Marlin McFate and Swish Data’s Sean Applegate discuss how agencies can implement a simplified, cohesive approach to cyber resiliency.
Data Readiness: The Key to Effective Mission-Driven AI in Government
As government agencies deploy AI and machine learning (ML) to fulfill mission-critical functions, data readiness — the preparation of data to be accurate, accessible, secure, and fair — becomes critical. Data readiness is more than technical setup; it’s the foundation that ensures AI systems deliver reliable insights, support equitable decisions, and maintain public trust. TheRead… Read more »
How to Ensure Your Data Is AI-Ready
As agencies accelerate their adoption of artificial intelligence-based solutions, they need to ensure the underlying data is AI-ready. In this video interview, Andrew Churchill of Qlik and Piyush Bothra of AWS discuss how to lay a strong data foundation for AI initiatives.
Managing Your Data for AI
Mismanaged data can lead to poor decision-making, loss of trust, increased risk and other fallout, and artificial intelligence has made data use more complicated. Fast, secure, energy-efficient data storage, however, helps agencies manage what they have.
Data Protection Builds Cyber Resiliency
Protecting your data is the lynchpin of coming back from a cyberattack. Here are some pointers on keeping data safe.