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.
...decentralised data in large organisations. Architecture decisions cascade into AI Implementation & Technical Architecture. Feature stores bridge data engineering and ML engineering — a critical integration...