Building AI systems that work is still hard

Experienced multiple times working on applied AI projects. Real-world datasets are messy and labeling them is an expensive task.

Enterprises are also not sure how to measure the RoI of their AI projects, especially since the accuracy is the mid-80s at best and someone needs to take ownership to teach the machine and improve the accuracy continuously.