Part 9/11:
When asked about the human elements that resist automation, panelists agree that some aspects—such as organizational politics, policy formulation, and ethical decision-making—are inherently human. Anerban emphasizes the importance of human judgment in defining responsible AI and managing data privacy policies, which are inherently context-dependent.
Similarly, experience and domain expertise remain irreplaceable in crafting optimized, high-quality data products. Samit emphasizes that while AI can generate code and automate tasks, creating highly optimized and business-aligned data solutions relies on human insight and strategic thinking.