Poor data quality causing majority of artificial intelligence projects to stall by Bob Violino via @infomgmt

Nearly eight out of 10 organizations using AI and ML report that projects have stalled, and 96 per cent of these companies have run into problems with data quality, says a new study.

This is a reason for the failure of many different techniques in many different projects. It is absolutely VITAL that you have good quality data in your systems and that there is good referential integrity across all joins.