As all US States conduct economic modeling for forecasting state revenues using big data and multiple data sources, is anyone using AI to improve their models? Our state agency is interested in identifying other use cases and peer connections for applying AI for improved state-level Econometric Modeling.
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Has the AI hype died down at your org? What changes have you noticed in how teams respond to new applications of AI in your data and analytics systems, and how did you respond to them?
Alternative data sources like formations and annual reports activity can be good features for the modeling of revenue