While government organizations want the benefits of priority-based budgeting in the face of deficits and uncertainty, they often lack the resources to undertake the process. We will explore how AI can significantly streamline the implementation of priority-based budgeting and produce recommended, proven, and actionable steps for surfacing revenue opportunities and savings. We will highlight real-world examples of how AI and machine learning unlock patterns and insights previously hidden in the granular details of raw line-item budget data. We will also examine how Al can identify patterns among similarly scored and categorized programs from other governments to suggest program-specific recommendations for resource reallocation and revenue generation. And we will share stories from local governments that are benefiting from priority-based budgeting.

Presenter:

• Chris Fabian, Senior Director of Product Strategy, ERP Budgeting, Tyler Technologies

This webinar is complimentary thanks to the sponsorship of ICMA Partner Tyler Technologies, who will have access to registration information.