How Agencies Are Driving Innovation to the Edge
Across government, innovation is happening at the edge, leveraging cloud, artificial intelligence (AI), machine learning (ML) and related technologies.
Artificial Intelligence
AI-Driven Deception: New-Gen Phishers Get a Sophisticated Touch
AI technology has fascinating prospects for society, but there also exists a spectrum of potential negative and unconventional outcomes, including AI-driven phishing attacks.
Human Curated Knowledge Cannot Be Replaced With Automation
The answer engine is a groundbreaking solution that harmonizes the power of large language models — such as ChatGPT — with the irreplaceable insights that knowledge management professionals can offer.
Beware or Prepare? How to Work with AI
Getting used to AI can be an uncertain journey. Will it raise the quality and speed of your output? Will it expand the scope of your job, or put it at risk? Find out what an expert thinks.
Build an Innovative Ecosystem Through Cloud Architecture
If an agency wants to transform how it uses data, it needs to reimagine three core pillars of its data ecosystem: people, processes and technology.
Fairness in Government Hiring: Unveiling AI Bias in Resumes
For government positions, where objectivity is non-negotiable, cultural orientation and the integration of Artificial Intelligence (AI) can inadvertently taint the selection process.
Put Observability to Work
This playbook explains how a modernized approach to observability can help troubleshoot and remediate IT issues faster.
3 Pain Points of IT Management
This resource discusses the benefits of automation and best practices for implementing this technology.
Empowering Operational Efficiencies with AI and ML — Part 2
Governments can use AI and machine learning to enhance citizen experience and streamline overall operations.
What Can Old Airplanes Teach Government About Adopting AI?
Though more than 100 years separates the inception of the U.S. Airmail Service and the launch of ChatGPT, we can learn many lessons from the former when deciding how to use the latter.