Helping enterprises release data and AI productivity, Amazon Cloud Technology takes 'inclusive benefit' as its mission

Optimize customer experience through intelligent customer service, improve technical team productivity through automatic code generation, and improve the operational efficiency of the entire organization through automated document processing... This is what many people in "thousands of industries" are experiencing daily. Behind the scenes, The continued implementation of generative AI applications. More people are committed to improving efficiency, optimizing processes, and even assisting innovation through the application of generative AI.

However, the above is just the tip of the "iceberg" of generative AI, exposed under the current imagination space. In fact, generative AI itself is also the tip of the larger AI technology ecological "iceberg". In other words, if we want to better unleash the potential of generative AI applications, we still need to move closer to the "AI iceberg under the water" and deeply cultivate AI infrastructure.

At the recent "Amazon Cloud Technology Generative AI Builders Conference", Chen Xiaojian, general manager of Amazon Cloud Technology Greater China Product Department, shared the following views: "Generative AI is not limited to large models. When we talk about generative When it comes to AI, most people only focus on the basic model, but the entire generative AI application is like an iceberg floating on the sea. Only the tip of the iceberg can be seen by most people. This exposed tip of the iceberg is The basic model, and at the bottom of the iceberg, also requires a large number of other services to support it, such as acceleration chips, databases, data analysis, data security services, etc."

In this regard, Amazon Cloud Technology provides a complete end-to-end generative AI technology stack, from the bottom acceleration layer such as acceleration chips and storage optimization, to the middle layer model building tools and services, to the top layer generative AI Related applications, each layer is continuously innovating according to the different needs of customers.

Amazon Cloud Technology is currently committed to helping enterprises and developers fully realize the potential of generative artificial intelligence, providing application scenarios, tools and infrastructure, data foundation, and native artificial intelligence application construction and generative artificial intelligence services. support

First, select appropriate application scenarios and innovate business models starting from typical scenarios; next, use specially built generative AI tools and infrastructure to quickly build cost-effective generative AI applications; then, consolidate the data base , use private data to create differentiated competitive advantages; then, use cloud native services to accelerate the construction of AI applications and help agile business innovation; finally, use out-of-the-box generative AI services to eliminate repetitive work and focus on innovation itself.

In addition to the above cloud services, Amazon Cloud Technology also provides solution architects, product technical experts, artificial intelligence experiments, data laboratories, rapid prototyping teams, professional services teams, training and certification departments and other resources to help customers succeed. .

Chen Xiaojian also said that developing generative AI applications is a systematic project full of challenges, and it is not just a simple splicing of products and services. Therefore, in order to accelerate the commercialization of customers' final applications, Amazon Cloud Technology, in addition to utilizing its own resources, is also committed to building a strong partner ecosystem and working with partners to solve various technical problems in the construction of generative AI applications and build A large ecosystem of generative AI, accelerating the practical application of applications

Amazon Cloud Technology’s advocacy and efforts have yielded many results.

In the office field, the Amazon Cloud Technology customer team cooperated with the Data Labs team and the rapid prototyping team to provide new ideas and suggestions for Kingsoft Office’s AI innovation exploration, and assisted in completing POCs such as vector search and Stable Diffusion packaging solutions. (Proof of Concept) Test

Kingsoft Office works closely with the machine learning product department of Amazon Cloud Technology to conduct end-user purchase predictions through Amazon SageMaker, improve end-user conversion rates, and achieve refined operations. Based on the Amazon SageMaker service, Kingsoft Office has built a complete set of refined user operation paths from user identification, user conversion to recovery of lost users, and will gradually extend and explore more user scenarios in the future.

Recently, through coordination with the Amazon Cloud Technology global team, Kingsoft Office took the lead in trialling the newly launched fully managed generative artificial intelligence model tool Amazon Bedrock, and conducted comprehensive tests on various office application scenarios to improve product performance.

Andy Jassy, ​​CEO of Amazon Cloud Technology, once stated that their goal is to allow everyone to have access to the same advanced infrastructure and cost as large enterprises to achieve their own innovation. It can be seen from this that in the field of generative artificial intelligence, Amazon Cloud Technology also promotes the universalization of generative artificial intelligence technology by relying on its products and services, providing more enterprises and individual developers with the opportunity to accelerate innovation. ability

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