95% of the events in the client's database had missing contact information for the specific contact associated with the event. The client was looking for a solution to fill in those gaps in an automated way.
Read about a real world implementation of AI in saas
Key indicators of an effective data set for AI
Phases of an effective enterprise AI project
How to predict for and treat customer behavior with AI
Relativity6 Predicts Customer Behavior
Learn how to use data engineering to fill in key data points and indicators
Learn how R6 approaches the use case
Use R6 strategies to automate data base issues and fill in the gaps in order to do AI
