We don’t know what the next technology innovation will look like, or what specific benefits it will bring to government agencies, but we can say with some confidence that it will probably depend on high-quality government data.
From learning to trust how artificial intelligence (AI) will handle data and provide insights to implementing zero-trust architectures for cybersecurity to building citizen trust with better customer service, agencies are more focused than ever on delivering trust as part of their services.
Whether your agency is eager or hesitant to adopt AI, the technology is here. And you can get started safely.
The allure of building your own generative AI applications may be irresistible — but it’s not as straightforward as it seems.
AI-powered automation is transforming various aspects of government operations, IT, and application delivery. Government agencies are using AI-powered automation to help with mission delivery, to build resilience, to upskill employees, and enhance trust in government.
Vendors offer a bewildering array of GenAI solutions, all of which seem very similar. Some agencies have paused on evaluations to foster consensus, but the question remains: How can government agencies determine whether it is possible to deploy an effective GenAI solution today?
Agencies today suffer from a “chaos of connectivity” — a morass of systems that are integrated to an extent, but don’t talk to one another — and that prevents agencies from easily accessing large swaths of data. A new platform that addresses all of an organization’s integration patterns can solve the problem.
Blanket bans or prohibitions against government agency use of generative AI won’t work. The recent Executive Order on AI takes a much more effective approach to guiding agencies on the proper way to adopt this new technology.
Artificial intelligence (AI), unlike other forms of automation, can learn and generate ideas that elude humans. But what does AI “learning” actually mean? Here are the basics.
Artificial intelligence is not a singular technology — there are, in fact, many types of AI, each with unique uses and concerns for agencies to consider.