Your AI isn’t broken. Your data is.

Enterprises are investing heavily in AI but getting poor results due to flawed data. A new startup claims to have identified the issue and developed a solution. This highlights the importance of data quality in AI development. Engineers should prioritize data validation and curation to improve AI performance.