Part 7/13:
A provocative question was raised: should organizations wait until their data is perfect before deploying AI? Kash, a panelist, responded pragmatically: data will never be entirely clean or complete. Instead, organizations should focus on "building foundation muscles"—incrementally improving data quality through use cases. He advocates for a "start small, think big" philosophy, leveraging AI projects to compellingly demonstrate value and justify investments in data governance over time.