"Work backwards for what you're trying to accomplish - what are you trying to solve for, and what is the data that you need?" said Larco, emphasizing that finding the right data is essential for deriving value from AI, especially in its infancy. This approach encourages practical problem-solving over ambitious, sweeping implementations that might not yield immediate benefits. By aligning data needs closely with specific objectives, companies can avoid the pitfalls of overwhelming themselves with unnecessary information.
Kapoor noted, "The most important thing for generative AI is that it all comes down to the people. The SWAT teams that actually go off and build the first few projects - they are not reading a manual; they are writing the manual for how to do generative AI apps." His statement reflects the idea that human creativity, expertise, and experience are foundational to navigating the complexities of AI development, particularly as best practices are still being established.
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