Promoting inclusive data and AI: Amazon Cloud Technology holds Generative AI Builders Conference

Recently, Amazon Cloud Technology held a Generative AI Builders Conference in Beijing. According to the meeting, Amazon Cloud Technology’s goal is to enable anyone to achieve the same advanced infrastructure and cost as large enterprises to realize their own innovation. In the field of generative AI, we also hope to use the products and services of Amazon Cloud Technology to realize the universalization of generative AI technology and empower more enterprises and individual developers to accelerate innovation. At the meeting, Siemens Group, Kingsoft Office Software and Covestro China, as representative customers of Amazon Cloud Technology’s generative AI innovation in China, also shared their respective innovation cases and jointly discussed the development trends and application prospects of generative AI.

Generative AI has become the primary focus of business leaders in various industries and organizations. Enterprises are thinking about how to use generative AI technology to innovate their business and quickly gain competitive advantages. The reason for the explosion of this technology is the massive explosion of data, abundant and highly scalable computing power, and the continuous innovation of machine learning models over time.

Chen Xiaojian, general manager of Amazon Cloud Technology Greater China Product Department, said: "Generative AI is not just a big model. Today, when we talk about generative AI, most people are talking about the basic model, and the entire generative AI Applications are like icebergs floating on the sea. The tip of the iceberg exposed above the sea and visible to most people is like the basic model. At the bottom of the glacier, a large number of services other than the basic model are also needed to support it, such as acceleration. Chips, databases, data analysis, data security services, etc.”

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.

According to reports, Amazon Cloud Technology is focusing on five aspects: application scenarios, tools and infrastructure, data base, AI native application construction and generative AI services, and continues to help enterprises and developers fully unleash the potential of generative AI. .

The content that needs to be rewritten is: First, when selecting appropriate application scenarios, you should start from typical scenarios and innovate business models. At the same time, specially built generative AI tools and infrastructure can be used to quickly build cost-effective generative AI applications. In addition, it is necessary to consolidate the data base and use privatized data to create differentiated competitive advantages. At the same time, cloud native services can be used to accelerate the construction of AI applications and facilitate agile business innovation. Finally, you can also take advantage of out-of-the-box generative AI services to eliminate repetitive work and focus on innovation itself

Chen Xiaojian also revealed that Amazon Cloud Technology has helped 1,000 small and medium-sized enterprises and startups quickly realize generative AI innovation through out-of-the-box generative AI services and tools, and has empowered 100,000 Chinese developers

Chen Xiaojian said that developing generative AI applications is a systematic project full of challenges, and it is not just the splicing of products and services. Therefore, in order to accelerate the commercialization of customers' final applications, in addition to relying on Amazon's own resources, we also need to build a strong partner ecosystem. Together with these partners, we will help solve various technical problems in building generative AI applications and speed up the application implementation process. In addition to providing cloud services, we also have solution architects, product technical experts, artificial intelligence laboratories, data laboratories, rapid prototyping teams, professional services teams, training and certification departments and other resources to jointly help customers succeed. At the same time, we also cooperate with ecological partners and start-up companies to jointly build a complete system of generative AI and further promote the application of generative AI technology

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