Chengdu, December 6th (Reporter Wang Ziwei) - At the "2024 Digital Intelligence Technology Conference" held in Chengdu today (December 6th), Jiang Li, a senior product expert in Amazon Web Services' generative AI (artificial intelligence), believes that the reason for the difficulty in landing AI now is that the demand expectations of the B-end are not consistent with the technical capabilities of AI. The underlying technology of the big model determines that it is a predictive system. Under the same prompt words, the output results of the big model cannot be guaranteed to be completely consistent every time. However, our expectation is that AI products can provide deterministic results, which leads to a low match between B-end requirements and results. Jiang Li believes that at present, product designers who understand AI are more needed to create products from the perspective of generative AI.