Open Internet by MindsNet

AI Project Failure Due to Poor Data and Integration

Many AI projects fail to deliver useful results due to poor data quality and lack of integration with existing workflows. The data used for these projects is often a mess, and the projects are built in isolation without considering the needs of end-users. This leads to a high failure rate, with 95% of GenAI projects reportedly having zero measurable ROI.

Computing & Technology, Computer Science, Machine Learning