Gu Fan, General Manager of the Strategic Business Development Department of Amazon Cloud Technology Greater China, said in an exclusive interview with a reporter from the 21st Century Business Herald that generative artificial intelligence will bring opportunities to companies from four aspects: the first is to create a new customer experience; The second is to improve the productivity of employees within the enterprise; the third is to help enterprises improve the efficiency of business operations; the fourth is to improve the efficiency of enterprises in content creation. It can be seen that generative artificial intelligence will reshape every industry and change the rules of the game in all walks of life.
At the same time, Gu Fan, general manager of the strategic business development department of Amazon Cloud Technology Greater China, also said that enterprises must solve several pain points if they want to use generative AI: first, find a suitable business scenario; Select and use the basic model; the third is how to "easily" tune the model on the premise of protecting the security of private data; the fourth is how to lower the threshold so that more people have the ability to develop generative AI applications; The fifth is ultra-large-scale and cost-effective computing resources, especially considering the cost of future application reasoning; the last is to solve the challenge of talent shortage.
Since entering China in 2013, Amazon Cloud Technology has continued to increase its investment in China. In 2013, Amazon Cloud Technology launched a limited preview of the China region, and then successively released the Amazon Cloud Technology China (Beijing) region operated by Sinnet, the Amazon Cloud Technology China (Ningxia) region operated by NWCD, and the Amazon Cloud Technology China (Ningxia) region. Asia Pacific (Hong Kong) Region. Amazon Cloud Technology already has thousands of partners in China, supported more than 10,000 local start-ups, and provided cloud computing-related skills training for more than 1 million people. Two renewable energy projects backed by Amazon in China, including a solar project in Shandong and a wind project in Jilin, have officially come into operation.
Generative AI will bring four opportunities for enterprises
21st century: From the perspective of cloud computing, what opportunities will generative artificial intelligence bring to enterprises, and what challenges currently exist? How will Amazon cloud technology maintain its competitive advantage?
Gu Fan: We see that this technology brings opportunities to enterprises mainly from four aspects. The first is to create a new customer experience, such as chatbots, virtual assistants, personalized recommendations, etc.; the second is to improve the productivity of internal employees, such as meeting minutes and code creation based on generative artificial intelligence; the third is to help Enterprises improve business operation efficiency, such as manufacturing enterprises using predictive maintenance and quality control based on generative artificial intelligence to increase production capacity, etc.; the fourth is to improve the efficiency of enterprises in content creation, such as automatically improving the quality of pictures and videos, creating music Etc., making it easier to turn ideas into reality. It can be said that generative artificial intelligence will reshape every industry and change the rules of the game in all walks of life.
Enterprises want to use generative AI, there are several problems that must be solved:
The first is to find a suitable business scenario; the second is to select and use the basic model more easily; in the future, one basic model will not rule the world, and enterprises need the "flexibility" of choosing the correct basic model for their own scenarios; third, use Combining your own private data with the basic model makes it "easier" to build a customized model while ensuring your own "private data security". We launched Amazon Bedrock to address these challenges. It allows customers to easily use a variety of basic models, use both basic large models and private data, and develop customized models. At the same time, it ensures that no private data of any enterprise is used to train the underlying model, ensuring data security of the enterprise and privacy.
Fourth, how to lower the threshold so that more people have the ability to develop generative AI applications. Although the generative AI basic model is powerful, it also has its own limitations, such as the inability to complete complex tasks that require interaction with external systems, which requires developers to split complex tasks into multiple steps. To this end, Amazon Bedrock has launched the agent (Agents) function, which can automatically decompose tasks and create execution plans without any manual coding. In the application, insurance institutions can use this function to automatically process insurance claim requests and improve operational efficiency. Enterprises can also use generative AI-based programming assistants to improve the development efficiency of developers. Amazon CodeWhisperer, like our launch, can greatly reduce the heavy work of developers by writing most common codes. According to tests, participants who used CodeWhisperer completed tasks an average of 57% faster and had a 27% higher success rate.
Fifth, with the generalization of enterprise generative artificial intelligence applications and the continuous iteration of basic models, there must be an ultra-large-scale and cost-effective cloud platform to support continuous model training and large-scale reasoning on the application side. We offer a full range of computing, high-speed networking and high-performance storage options. In addition to the common CPU and GPU options in the industry, we also have more than 5 years of experience in self-developed chips. Among them, our self-developed Amazon Trainium and Amazon Inferentia chips can provide ultra-high cost performance for training models and running inference on the cloud.
Finally, enterprises will encounter the challenge of talent shortage when making good use of generative artificial intelligence, so we will also help customers build customized "killer" applications to solve the engineering challenges of the last three kilometers. Our solution architects, product technical experts, artificial intelligence labs, data labs, rapid prototyping teams, etc. work with customers to find scenarios, polish algorithms, build product prototypes, and find technical solutions. In addition, we have also introduced the mechanism of joint innovation laboratory, and jointly invest resources with customers to jointly carry out research, design, research and development, communication and implementation support of innovative projects. At present, we have established joint innovation laboratories with Anker Innovations, Ctrip, CIMC and Thundersoft. "Walk fast alone, travel far together", we also hope to cooperate with more partners and start-ups in the field of generative artificial intelligence for a win-win situation.