About AI: Insights You May Have Missed
Looking for guidance on what AI can do and how to implement it? Check out this roundup of quick, insightful blog posts.
Posts By Candace Thorson
GTFS: The Secret Sauce Behind Rider-Facing Transit Information
In this video interview, experts from Actionfigure discuss the General Transit Feed Specification (GTFS), how it underpins real-time rider information, and where agencies can find help managing it.
CX Innovation: Reminder Text Messages Make a Difference
People often learn they’ve lost access to social services benefits when they try to access them and fail. An innovative Louisiana program helps change that by sending text message reminders about deadlines, submission requirements, and other concerns.
Want to Increase Public Engagement? Be Intensely Collaborative
Public and private groups often duplicate efforts and miss important opportunities to engage the community. Rather, they should leverage their combined networks as part of a long-term strategy.
Getting Serious About Software Testing: The Model-Based Approach
In this video interview, John Lange with Tricentis explains how model-based automated software testing enhances efficiency and modernization.
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.
A Roadmap for Securing AI Systems and Data
In this video interview, Gina Scinta with Thales Trusted Cyber Technologies explores the connection between AI and cybersecurity, particularly in the government sector.
Fixing the Fragmentation That Holds Back Government Readiness
In this video interview, Ari Vidali of Acadis explains how agencies can overcome fragmentation and transform readiness through modernization.
Promoting Efficiency With Data: Two Case Studies
Discover how two public agencies use data to promote efficiency, enhancing public safety and infrastructure management.
Deciphering the Need for AI Data
AI algorithms need reliable, high-quality data to generate high-quality results. Learn how to implement a data strategy that leads to more trusted sources and truer AI answers.