As agencies accelerate their adoption of artificial intelligence-based solutions, they need to ensure the underlying data is AI-ready. In this video interview, Andrew Churchill of Qlik and Piyush Bothra of AWS discuss how to lay a strong data foundation for AI initiatives.
Frontline workers know how AI tools could improve their daily tasks better than leadership or IT specialists probably do. A grassroots approach encourages innovation from the ground up.
Beyond all the hyperbole and speculation, generative artificial intelligence (GenAI) is bringing real change to how government delivers services. In this video interview, Tim Paydos of ServiceNow discusses how agencies can reimagine their existing operations and services.
Incorporating AI into your agency tasks, processes, systems and culture can be difficult. You need a robust understanding of AI use cases, holistic implementation of AI solutions, and skilled human oversight of AI outputs.
AI is helping political candidates analyze data on voter demographics, social media behavior, past voting patterns, and more. Unfortunately, this efficiency also benefits bad actors looking to spread political disinformation.
Experts agree that generative AI (GenAI) can have a significant impact on how government handles cybersecurity. Here are some of the technology’s potential security benefits.
Outdated systems can stifle innovation and frustrate users. But with machine learning, organizations can streamline their operations and implement a more user-centric approach.
Generative AI is revolutionizing software development by enhancing operational efficiency and driving innovation. For agencies, this tech is a strategic asset and also plays a crucial role in modernizing legacy systems.
When public sector leaders use GenAI as a thought partner, they are able to examine their own biases and assumptions, and gain valuable insights on alternative views that can strengthen their work and decision making.
The allure of building your own generative AI applications may be irresistible — but it’s not as straightforward as it seems.