Without clean, reliable data, AI fails. That’s why data strategy comes first—because, despite a modernized technology infrastructure, even the most sophisticated machine learning models will underperform if your data isn't prepped properly. Think of data preparation like laying the foundation for a skyscraper; if it’s not strong, nothing else will stand tall. 🏙️ Make sure your organization has a handle on data readiness before you take on the power of AI: https://hubs.la/Q03Q6F9X0 #AIAutomation #DataReadiness #DataHygiene #MachineLearning #AISuccess
Senior TPM | Amazon | Ex-Nike/Walmart | $2.2B Portfolio | Platform Scaling | JIRA/Confluence Expert
1dBad input leads to bad output. What you feed the engine is the most important thing.