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Generative AI Moats in B2B with Emergence Capital’s Jake Saper
ACQ2 by Acquired
Building with Generative AI: Considering Accuracy and Real World Outcomes
Accuracy and understanding of real-world outcomes are crucial factors in building with generative AI. For consumer applications like character.ai, where chatting with dead celebrities is the use case, accuracy and real-world outcomes are irrelevant. The focus is on keeping attention and creating a toy-like experience. However, in B2B use cases, outcomes matter, as companies are paying to achieve specific goals. Some B2B use cases prioritize high accuracy, such as medical use cases where a transcription error could risk lives. While AI models are improving, there is still a chance of inaccuracy. Thus, the challenge is to build B2B applications that leverage generative AI technology without compromising real-world outcomes.
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