Amazon Cloud: Helping manufacturing companies achieve business transformation with generative AI

In an environment of industrial change led by the booming digitalization wave and new technologies, Industry 4.0 has accelerated the integration of information technology, digital technology, artificial intelligence and other technologies with manufacturing. The development of artificial intelligence and generative AI has brought huge opportunities and challenges to the manufacturing industry. How to use these technologies to improve efficiency, reduce costs, and optimize product design has become an urgent issue for the manufacturing industry.

According to Gartner's "2022 Artificial Intelligence Technology Hype Cycle" report, it is expected that by 2027, 30% of manufacturers will adopt generative artificial intelligence technology to improve the efficiency of product development

Recently, Amazon Cloud Technology worked with leading customers and partners in the manufacturing industry to discuss topics such as insights into the current development trends of China's manufacturing industry and the challenges and opportunities faced by manufacturing companies in the digital transformation and innovation stage. Gu Fan, general manager of the Strategic Business Development Department of Amazon Cloud Technology Greater China, said: "Currently, the digital transformation and upgrading of the traditional manufacturing industry is accelerating and deepening - high-end, intelligent, and green have become the main trends in the development of the manufacturing industry. ”

Amazon Cloud Technology has worked with hundreds of thousands of partners around the world to jointly develop solutions suitable for a variety of scenarios and applications, covering all links in the value chain of manufacturing enterprises. Among them, the application of generative AI technology is particularly prominent, bringing overseas competitiveness to enterprises and promoting the development of manufacturing industry in a green and sustainable direction

For ten years since entering the Chinese market, Amazon Cloud Technology has been focusing on providing solutions for the digital transformation and innovation of enterprises in various industries. Currently, China's manufacturing industry is undergoing digital transformation from "quantity" to "quality", but traditional manufacturing faces many challenges, such as long technological product innovation times, low overall equipment effectiveness (OEE) in factories, Supply chain efficiency and flexibility are low, as well as the lack of new revenue sources. Now, Amazon Cloud Technology hopes to empower the traditional manufacturing industry through digital transformation and help it achieve innovation and transformation

As the digital transformation and upgrading of the traditional manufacturing industry continues to accelerate and deepen, Amazon Cloud Technology plays an important role in empowering the digital transformation and innovation of the manufacturing industry. Amazon Cloud Technology not only provides the industry with cloud computing power and new technologies, including generative artificial intelligence, but also works with partners to incubate solutions for key manufacturing scenarios, helping manufacturing companies organically integrate digital technologies with core businesses. In addition, Amazon Cloud Technology can also bring rich practical industry experience to the industry and achieve continuous business changes

When generative AI is accelerating its embedding into business scenarios in the manufacturing industry, Amazon Cloud Technology fully penetrates into manufacturing value chain scenarios by lowering the threshold in the critical path of building generative AI applications, and works with partners to provide industry-leading terminals. End-to-end technology solutions.

Amazon Cloud Technology and China Science and Technology Thunder jointly announced the establishment of a joint artificial intelligence innovation laboratory in May, using Amazon Cloud Technology's Amazon SageMaker and other technologies and services to jointly explore innovative experience scenarios and explore cloud computing and large-scale language models Applications in industry provide new industry solutions for manufacturing customers, helping them accelerate the application of artificial intelligence and basic models to achieve digital transformation and business innovation. Chuangda utilizes Amazon Cloud Technology's extensive and in-depth cloud services to build a technical base that runs through the three levels of end, edge, and cloud, and continues to provide manufacturing companies with production continuity, business global expansion, technological innovation, and safety compliance. etc. support. In the future, the two parties will continue to cooperate and explore in-depth in the fields of artificial intelligence empowering digital transformation, artificial intelligence empowering intelligent manufacturing, and artificial intelligence empowering smart cars

In fact, in the field of traditional industrial equipment and services, how to create new revenue models is a matter of great concern to large manufacturing equipment OEM companies. Manufacturing companies need to promote their transformation from "manufacturing" to "high-tech" enterprises and use intelligence to improve the performance and value of products, thereby creating value-added services and expanding profit models and space. Amazon Cloud Technology provides powerful Internet of Things (IoT) and data processing and analysis capabilities to help manufacturing companies unlock the value of equipment and machine data and help them obtain sustained revenue by creating new product and service models.

The application of Amazon Cloud Technology's industrial data lake and machine learning services in the field of smart manufacturing can improve enterprises' real-time analysis capabilities, thereby helping enterprises to significantly increase output, optimize production and achieve predictive maintenance, thus extending the normal operation of machines. time

Take INVISTA as an example. The global integrated fiber and polymer company selected Amazon Cloud Technology as its preferred cloud provider to build, train and deploy internally developed third-party machine learning models using Amazon SageMaker for data science workflows. After implementing the system, INVISTA migrated 600 on-premises servers to the cloud, including multiple manufacturing applications and the global INVISTA SAP footprint, saving more than $2 million in annual costs and creating $300 million in revenue from company-wide data. value

In the manufacturing field, product design usually requires consideration of materials, processes, costs and other factors. Generative artificial intelligence can generate better product design solutions by analyzing large amounts of data. For example, artificial intelligence technology can be used to optimize the structure, performance and cost of products and improve the competitiveness of products. In the manufacturing process, the cost of hiring data scientists and model tuning engineers is very high. Artificial intelligence can predict equipment failures, optimize production plans, etc., and improve production efficiency through data analysis

In China, as one of the first companies to be selected into the “List of National Industrial Design Centers”, Haier Innovation Design Center chose Amazon Cloud Technology to create a generative AI solution and introduced this solution into new product design, upgrades, and channels. Customization and other industrial design business scenarios have been built, and the country's first known AIGC industrial design enterprise-level solution that is combined with actual business scenarios has been built. Through this solution, the overall conceptual design of Haier Innovation Design Center has been accelerated by 83%, and the integrated rendering efficiency has been increased by about 90%, effectively solving the problems of high labor costs in the design stage and low concept output and approval efficiency.

On November 16, Deloitte China and Amazon Cloud Technology jointly announced the establishment of a generative AI joint laboratory. It is composed of product experts, architects, data scientists, AI experts and industry experts appointed by both parties. Amazon Cloud Technology invests in cloud computing resources, industry best practices and partner resources, and Deloitte China invests in industry solution assets and business best practices. , development and operation capabilities, as well as generative AI business application strategy consulting services and generative AI security compliance consulting services. The two parties provide joint solutions to enterprises by participating in different innovative cooperation projects. It will also use Amazon Cloud Technology's new managed generative AI service Amazon Bedrock and fully managed machine learning service Amazon SageMaker in overseas regions to launch a series of solutions to meet the needs of enterprises for various overseas application scenarios.

Gu Fan said, "Amazon Cloud Technology provides advanced technology platforms and solutions to help manufacturing companies achieve digital transformation and innovative development. At the same time, by jointly developing solutions with partners, Amazon Cloud Technology can better meet the needs of enterprises And reduce costs." In addition, for China's global operating companies, they can also use generative AI to achieve global operations

Based on the infrastructure of Amazon Cloud Technology covering 32 geographical areas, 102 availability zones, 33 local expansion zones, and 29 wavelength zones around the world, it can fully support the global expansion of Chinese enterprises. Not only can it help companies achieve consumer insights in target regions through big data and data analysis services, but it can also help hardware companies use cloud technology to build intelligent interconnected devices and value-added services that meet overseas needs; such as leveraging global infrastructure coverage and IoT capabilities to help quickly build an IoT platform and provide localized value-added services. In addition, Amazon’s intelligent voice assistant Amazon Alexa has been integrated with hundreds of millions of smart devices around the world. By connecting with Amazon Alexa, smart device manufacturers can better access the smart ecosystem in overseas regions.

In addition, in order to achieve the "dual carbon goals" of the manufacturing industry, Amazon Cloud Technology also joined hands with partners to launch the "Sustainable Development Partner Program" to provide a complete set of data collection, energy consumption management and optimization, to carbon emission measurement and prediction. end-to-end green manufacturing solutions. Currently, more than ten partners have joined the program as the first members.

Gu Fan said, "Amazon Cloud Technology will continue to explore the combination of generative AI and existing business scenarios in the manufacturing industry, create new business models, and use new technologies to continue to empower customers in the manufacturing industry to move towards a new development pattern."

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