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Data and AI
Chet Kapoor emphasized the importance of data in AI applications, urging companies to prioritize product-market fit over scale in the early days of AI.
Unlocking True Value
Venessa Larco suggests a pragmatic approach to data overload, advising companies to work backwards to find relevant data for specific goals rather than implementing generative AI across the entire company at once.
Narrow Focus
George Fraser recommends focusing on solving current issues rather than planning for scale ahead of time, emphasizing the importance of practical, incremental progress in the development of generative AI applications.
