Post by Thoughtworks

Everyone is talking about AI models. Not enough people are talking about data. Because even the best AI won't help if the data feeding it is incomplete, inconsistent or delayed. That's why data readiness matters. With agentic AI, teams can improve data quality as it enters their systems—instead of fixing it weeks or months later. Less cleanup. Faster decisions. More reliable AI outcomes. Tiankai Feng and Kiran Prakash explore why data readiness should be at the center of every AI strategy. Start with the carousel. Full article in the comments.