Lack of data confidence leads to AI failures

More than a third of AI and analytics projects in the cloud are failing due to poor quality data according to a new survey. The study from data specialist Trifacta surveyed 646 data professionals across different industries and titles to examine how organizations are handling the accelerating transition of data to the cloud, the obstacles of data cleaning for analytics and the time constraints they face when preparing data. The findings show that data preparation is an ongoing issue, with 46 percent of respondents spending over 10 hours properly preparing data for an analytics and AI/ML initiative while others spend… [Continue Reading]