Seeking to modernize budgeting, local governments are looking to priority-driven budgeting to enable budget decisions that relate directly to their priorities and save money. In this webinar, Chris Fabian, an innovator in priority-based budgeting methodology, will explore the steps toward priority-based budgeting, obstacles, and payoffs.

He will look at the resource challenges local governments face in adopting priority-based budgeting and how AI modeling technology can significantly reduce the adoption lift. Attendees will learn how AI modeling can analyze huge data sets to make logical connections and discover patterns in the data to predict programs – including inventory, costs, and scores.

He will share real-world insight into how priority-based budgeting can surface innovations for how: programs are funded, resources can be freed up and reallocated, and spending can be optimized to support community priorities.

Attendees will:

• Recognize the critical steps involved in implementing priority-based budgeting.
• Know how to leverage machine learning and AI to streamline translating existing budget data into actionable program data.
• Understand how to use priority-based budgeting to further the mission of local government while saving money.
• Learn fundamental steps in transitioning their budget process, including process/procedural steps, technology considerations, and cultural preparation for the organization.
   

Presenter:

• Chris Fabian, director of product strategy, ERP Budgeting, Tyler Technologies 

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