Author Sara Marshall

In the final installment of this blog series examine how Machine Learning Operations (MLOps) allows governments to easily deploy, monitor, and update models in production, paving the way to AI with measurable results.

Robotic Process Automation (RPA) is used to automate manual and time-consuming tasks and solves simple, everyday problems. But an intelligent RPA system—coupled with the power of AI—can solve states' hardest problems. Read our new blog to discover the benefits of IRA for your organization.

In part three of this blog series, we will examine how AI can help state governments streamline talent acquisition and why it is critical to the future of workforce development. 

State governments need to reinforce public trust in its institutions. This can be accomplished by providing stronger accountability, increased productivity, and transparency into spending and risk management. Find out how AI can help.

By leveraging prediction and augmented decision-making, governments can address the needs of taxpayers proactively while quickly adapting to evolving circumstances. Over the course of this blog series, we will address five critical ways that AI can help your state solve its hardest problems—beginning with the most immediate need facing states and localities today: crisis response.