With the development of various convenient services in life, we are no longer surprised by functions such as advertising push and image recognition, and artificial intelligence (AI) technologies such as machine learning, deep learning, and reinforcement learning are also unknown. Unconsciously, it is full of daily life; on the contrary, these AI technologies that seemed difficult to understand in the past and required highly professional talents to be familiar with and used have long become an indispensable data analysis and decision-making assistance technology in the process of product development and service optimization of enterprises.
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AWS provides cloud-based tools with various functions, which greatly reduces the threshold for AI technology to start and use, and allows machine learning (ML) to penetrate into various industrial processes and achieve true popularization. Enterprises such as Discovery, 3M, Lalamove, and Subway restaurant chain (SUBWAY) have begun to use the following cloud tools provided by AWS to further optimize their products or services: Low barriers to entry, easy to use, and accurate ML predictions without programming: Amazon SageMaker Canvas simplifies the complex programming process of the past with a visual point-and-click interface, allowing users to upload data, train models, and perform predictions without ML experience. Accelerates the creation of instant personalized user experiences at scale: Amazon Personalize does not require ML expertise,