In this episode of Goldman Sachs Exchanges, Allison Nathan and George Lee host Neema Raphael, Goldman Sachs' Chief Data Officer and Head of Data Engineering, to discuss the role of data in enabling AI's progress. Neema shares her career journey, highlighting the importance of data during the 2008 financial crisis and its evolution into an enabler for the business. The conversation explores the differences between traditional AI and generative AI, the challenges of adapting to probabilistic machines, and whether AI is overhyped. They delve into the potential of enterprise data, the use of AI in data organization, and Neema's personal use of AI for learning with her son. The discussion emphasizes the value of high-quality, normalized data for creating business value and unlocking the potential of AI in enterprise settings.
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