Decision Intelligence: Data Ethics
There are three goals of data ethics: protect civil liberties, minimize risks to individuals and society, and maximize the public good.
Artificial Intelligence
From Search Engines to Answer Engines — Bridging the Digital Divide to Optimize Constituent Experience
A new technology has emerged — known as “answer engines” — that replaces the keyword search engines we know so well with natural language processing that understands what we actually mean when we ask a question.
A Look at AI-Enhanced Cybersecurity
This playbook details the benefits of artificial intelligence and its practical uses for cybersecurity.
Unlock the Power of Data and Technology to Strengthen Your Leadership
Data offers insights into trends and patterns and enables us to make predictions. And leaders can use that information to make decisions that impact their teams and organizations.
The Ethics of Inclusive AI
As artificial intelligence (AI) becomes increasingly integrated into our lives, it’s vital that AI systems serve all members of society. AI should be inclusive, fair, and without bias.
How Observability and Automation Help DOTs Defend Against Hackers – and Deliver Better Citizen Experiences
Lives are at risk when traffic management systems fall prey to cyberattacks. But with automation tools and network observability, state and local departments of transportation can implement effective cyber protections.
How Agencies Are Driving Innovation to the Edge
Top agencies are leveraging cloud, AI and machine learning to deliver services quickly and effectively, at the far reaches of operations. Read how the Air Force and NASA are innovating at the edge.
What Story Is Your Data Telling?
Manually integrating their data costs agencies too much time and too much money. An industry expert explains how automation can help agencies tell a better data story.
How AI Opens up Other Types of Data
Agencies have a wealth of unstructured data — images, audio recordings and other information that doesn’t fit neatly in traditional databases or lend itself to analysis by traditional data tools — at their fingertips. So how can government make sense of all this data? How can agencies actually use it?
Budgeting Is a Collaborative Effort
The traditional budgeting approach used by local governments has many downsides, including a reliance on siloed data and an inability to identify how agencies can deliver services more efficiently and effectively. But rules-based software, which offers a digital and personalized approach, helps to solve those problems.