The key insights from this snip are the importance of governing data, having good policies, and managing who accesses the data. Additionally, the significance of master data management (MDM) and data quality is emphasized. The speaker highlights the critical role of data as the fuel for AI and the need to access the right data at the right time. Furthermore, responsible AI is essential, and organizations need to consider it as part of their overall governance posture. The snip also discusses the 'rag pattern' as an approach that avoids training a custom large language model but instead uses a pre-existing large language model as a reasoning and language center.