The data foundations that make AI work. Data quality, governance, architecture, pipelines, and the GenAI shift from training to retrieval. Most AI failures are data failures — learn the patterns and prevent them.
...you have enough data for production? If no: volume blocker Is the data current enough for your use case? If no: timeliness blocker Has legal approved this data for AI use? If no: governance blocker...