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.
...saying in the AI world: garbage in, garbage out. It's true, but it doesn't go far enough. The quality of your AI is capped by the quality of your data. No algorithm can compensate for bad data. And most...

