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Gu Fan, General Manager of Strategic Business Development Department of Amazon Cloud Technology Greater China
In 2023, big language models and generative AI will "surge" in the global market, not only triggering an "an overwhelming" follow-up in the AI and cloud computing industries, but also strongly attracting the entry of manufacturing giants.
Haier Innovation Design Center has created the country's first AIGC industrial design solution, which greatly shortens the design cycle and reduces conceptual design costs. It not only speeds up the overall conceptual design by 83%, but also increases the integrated rendering efficiency by about 90%. It effectively solves the problems of high labor costs and low concept output and approval efficiency in the design stage.
Siemens China's intelligent knowledge base and intelligent conversational robot "Xiaoyu" based on its own model has core key capabilities such as natural language processing, knowledge base retrieval, and large language model training through data, which has greatly improved the internal employee information. To achieve efficiency, more than 4,000 employees used it in the first week of its launch, and more than 12,000 questions were answered. This solution effectively reduced labor costs, and more than 90% of questions can be answered directly by the chatbot.
Behind the generative artificial intelligence innovation adopted by Haier and Siemens in China is the cloud computing giant Amazon Cloud Technology. Amazon Cloud Technology and its partners have jointly developed generative artificial intelligence solutions to lower the entry barriers for manufacturing companies. For example, Amazon Cloud Technology and its partner Computational Aesthetics (Nolibox) jointly developed solutions such as Wenshengtu and Tushengtu for the design of rapid concept prototypes and marketing materials. The AIGC industrial design solution of Haier Innovation Design Center is based on the cooperation between Amazon Cloud Technology and Computational Aesthetics (Nolibox)
Amazon Cloud Technology also provides manufacturing companies with pre-configured generative artificial intelligence (AI) solution guides so that customers can quickly implement generative AI innovation by "building building blocks." For example, Amazon Cloud Technology uses generative AI technology to build an enterprise-level intelligent knowledge base, which integrates the functions of search engines and large language models, which can help enterprise employees quickly find the most accurate and practical information in the knowledge base, thereby effectively improving production and office efficiency. Siemens China's technical team used this preconfigured solution to carry out only 20% of the customized development work, and successfully completed the development and launch of a project named "Xiaoyu" in just 3 months
In early November 2023, Amazon Cloud Technology held a media communication meeting for the manufacturing industry. Gu Fan, general manager of the Strategic Business Development Department of Amazon Cloud Technology Greater China, said at the communication meeting that Amazon Cloud Technology is committed to promoting the reshaping of generative AI. In the manufacturing industry, by lowering the threshold in the critical path of building generative AI applications, we can fully penetrate into the manufacturing value chain scenarios, work with partners to provide industry-leading end-to-end technology solutions, and develop in scenarios such as industrial design and knowledge base search. Customized solutions allow manufacturing companies to fully realize the potential of generative AI.
Generative AI is rapidly being applied to different business scenarios in the manufacturing industry, including product development and design, manufacturing operations, supply chain management, marketing and sales, intelligent customer service, and knowledge base construction, bringing huge business benefits to enterprises. value. When manufacturing companies choose to prioritize generative AI, they can consider the following three scenarios: industrial design, marketing, and functional support. These scenarios are also generative AI application areas that can create the greatest commercial value for manufacturing companies
The rewritten content is: Amazon Cloud Technology is committed to reducing the difficulty of building generative artificial intelligence applications. With the support of Amazon Bedrock’s comprehensive functions, enterprises can easily and easily access a variety of leading basic models through APIs. It is also possible to customize the model using your own proprietary data. Additionally, with Amazon Bedrock, customers can securely integrate and deploy generative AI capabilities into applications without the need to manage infrastructure and use the Amazon cloud technology services they are already familiar with
However, large-scale models and generative AI are not currently widely used in manufacturing. Gu Fan believes that this is because there is relatively little public data on the core processes of the manufacturing industry, making it difficult to pre-train large models. Manufacturing companies need to start from practical applications and solutions, and the coexistence of large models and small models will become the main trend. In terms of small model solutions, the industrial visual inspection and supply chain arrival time prediction based on artificial intelligence models provided by Amazon Cloud Technology are all based on small models
Whether it is a large model or a small model, Amazon Cloud Technology provides rich and complete solutions. For the manufacturing industry, Amazon Cloud Technology also has a complete and powerful intelligent manufacturing ecosystem. Amazon Cloud Technology works with partners to create "last mile" solutions for intelligent manufacturing. The partners of Amazon Cloud Technology include well-known international companies such as Advantech, Adlink, Lenovo, Accenture, Deloitte, Dassault, and Infosys, as well as Zhongke Cloud Valley, Root Internet, Sushi Technology, Zhongke Chuangda, Ziyun Technology, and Zhongyiyun and other well-known domestic manufacturers.
In the past ten years since entering China, Amazon Cloud Technology has been committed to developing industry solutions and empowering enterprises in all walks of life to achieve digital intelligence transformation and innovative development. In the manufacturing industry, Amazon Cloud Technology has collaborated with hundreds of thousands of partners around the world to develop solutions suitable for a variety of scenarios and applications, comprehensively covering all links in the manufacturing value chain. Looking forward to 2024, Amazon Cloud Technology and its partners will use new technologies to continue to empower the manufacturing industry and continue to move towards a new development pattern. (Text/Ningchuan)
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