Reimagine Mainframe Modernization With Machine Learning
Outdated systems can stifle innovation and frustrate users. But with machine learning, organizations can streamline their operations and implement a more user-centric approach.
Outdated systems can stifle innovation and frustrate users.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.
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?
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.
Artificial intelligence technology, including generative AI and large language models, provide many important capabilities, but there are misconceptions about how effective AI actually can be.