Predictive modeling uses known results to create, process, and validate a model that can be used to forecast future outcomes.

For example, customers can use Python to run predictive models to better identify top sales leads in Salesforce, or at-risk customers in Zendesk on Snowflake.

Predictive modeling is now viewed as a foundational tool in this modernization era, combining historical data with real-time signals from across the dealer ecosystem.

Predictive analytics is the use of statistics and modeling techniques to determine future performance based on current and historical data.

Pecan’s new free trial opens the fast predictive modeling platform so all data analysts can use AI and SQL to solve business problems.

New research shows how AI models can become a victim of their own success, sending their performance into a nosedive and generating inaccurate, potentially harmful results.

Predictive modeling can help stimulate traffic flow, and when combined with a robust mass notification system can help emergency managers conduct efficient evacuation operations during disasters.