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.
This playbook details the benefits of artificial intelligence and its practical uses for cybersecurity.
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.
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.
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.
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.
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?
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.
State and local governments are faced with a pressing need to repair infrastructure damage, particularly transportation infrastructure, following a natural disaster. But localities often lack visibility into what’s happening on the ground, and that delays restoration efforts. Automation can be a huge help.
Milwaukee County uses machine learning to help identify discriminatory language in statutes.