The core element of intelligent transformation is new computing power rather than new technology

Data, computing power, and algorithms are the core elements of an enterprise's intelligent transformation. 2021 is the first year of the "14th Five-Year Plan", and China will open a new development pattern that focuses on the domestic big cycle and double cycles at home and abroad. Digital industrialization and industrial digitization will become the main development direction in the future.

With the emergence and development of a new generation of information technology, my country's industry has shown different development trends: The first trend is the upgrading of information consumption. With the popularization and upgrading of smart devices, the demand for smart devices is increasing, which promotes the expansion of smart innovative products from computers to computing power. The second trend is the upgrading of information infrastructure.

The transformation and upgrading from the traditional single IT infrastructure equipment to the new IT infrastructure equipment.

The third trend is the application upgrade from digital to intelligent. Artificial intelligence is a core. On this basis, data, computing power, and algorithms are the core elements of intelligent solutions. Sheng Beidi, chief marketing officer of Lenovo Enterprise Technology Group, said that from the digital age to the intelligent age, technological progress no longer develops in a linear manner, but in an exponential manner.

New technology will bring new products and new industries while building a new life, developing a new economy, and forming a new pattern. Especially due to the impact of the 2020 epidemic, the new consensus on digital transformation has become the new normal and new genes for enterprise development.

1

Intelligent upgrading of the manufacturing industry becomes the focus

When it comes to industrial digitalization and intelligent transformation and upgrading, we have to mention the manufacturing industry. As we all know, the manufacturing industry in our country is the foundation of a nation and the foundation of a strong nation. Throughout the development of China's manufacturing industry, there have been four main stages: the machine age, the electrification age, the information age, and the intelligent age. At each stage of development, it has shown different development characteristics.

At present, a new round of scientific and technological revolution and industrial transformation is in the ascendant. New-generation information technologies such as cloud computing, big data, the Internet of Things, and artificial intelligence are pushing the manufacturing industry into the era of intelligence.

As artificial intelligence technology moves from laboratories to industrialization, both national and enterprise levels are actively promoting the intelligent transformation of manufacturing. Manufacturing companies are constantly using information technology to optimize production lines and improve product architecture, thereby increasing production efficiency. , Product quality, and can respond more quickly to changes in the international market.

Through machine substitution and artificial intelligence technology for product testing and other intelligent transformations, while improving production efficiency and maintaining the advantages of "Made in China" high quality and low price, it further improves the performance and quality of Chinese products, and promotes the realization of "Made in China". The transformation from "Made in China" and "Chinese Products" to "Chinese Brands". In the entire manufacturing industry, the manufacturing industry is divided into 31 categories, 191 medium categories, and 252 subcategories. In many categories, companies are in different stages of digital transformation. Ministry of enterprises has completed digital transformation and is moving towards the intelligent stage. The common pain points in the process of the manufacturing industrys transformation to intelligence are massive amounts of data, various data formats, and various data-generating devices. How can these data be cleaned, collected, and applied through computing power algorithms? This is a relatively basic issue in the digital transformation of the manufacturing industry.

In addition, the diversified needs of manufacturing enterprise scenes also lead to uneven digital and intelligent levels, such as quality control and yield control scenes; such as production scheduling, is it manual or machine scheduling? Is it general information-based production scheduling or artificial intelligence scheduling? According to Huang Shan, director of product planning and delivery of Lenovo ISG China, there are certain differences in the speed of intelligent transformation of different companies. The pain point of benchmarking companies is that customers have intelligent computing power algorithms, but they do not have the ability to build a system of end-side-cloudcoordination, which makes the phenomenon of data islands more serious; the biggest difficulty for small and medium-sized enterprises is that they do not have basic Computing power algorithms, upper-level AI applications and development capabilities, etc.

Huang Shan said that for benchmarking companies, Lenovo can participate in the construction of the "end-side-cloud" collaborative system, providing them with artificial intelligence software, edge software capabilities, and end software capabilities.

For small and medium-sized enterprises with a low level of intelligence, Lenovo provides a PaaS platform to provide standard platform development and service processes for upper-level developers, allowing developers to easily replicate applications that are made for different scenarios each time. Help small and medium-sized enterprises greatly reduce the cost of services and the difficulty of building solutions.

2

New IT and new computing power came into being

The transition from hardware to service. The biggest challenge that enterprises face in the process of digital transformation is to use artificial intelligence, 5G, big data, and other technical means to help various industries carry out digital upgrades. The emergence and development of new technologies have indeed accelerated the speed of digital transformation of enterprises to a certain extent, especially during last years epidemic, there were intelligent robots for temperature measurement and inspection; 5G remote consultations and big data investigations helped epidemic prevention and control, etc. It is a classic case of new technology empowering digital transformation.

However, in the view of Wu Bin, vice president of Lenovo Group and general manager of a product division and strategic operations of Lenovo ISG China, China is dominated by industry. In the new IT field and digital industry, the underlying computing power, algorithms, and data support are The key element of intelligent transformation and upgrading.

Wu Binbu said that one way in the current process of digital and intelligent transformation of the industry is driven by new technologies and new scenarios, followed by practice and landing.

The "end-side-cloud-network-intelligence" that Lenovo emphasizes is an integrated and all-round business layout and solution, which is the connection between people and people, people and things, things and things; "end-side-cloud In the "net-intelligence" scenario, computing power is one of the core elements, and computing power needs to be redistributed according to actual needs.

In response to the issue of empowering the digital transformation and upgrading of the manufacturing industry, Wu Bin added that for customers who are relatively mature in computing power and infrastructure, we provide customized services. The customization capability itself is a kind of service and must be tailored to the customers industry. Scenarios, look at what kind of architectural support the load needs. This is also the key content of Lenovo's "Global Wisdom + Local Innovation".

For small and medium customers, we are more inclined to provide easier solutions. For example, easy solutions with a higher degree of standardization and greater scalability.

At the same time, small and medium-sized enterprises will pay more attention to services. They may purchase services and not necessarily purchase products. We export computing power as a service, and the final product is formed to provide customers with computing power as a service. A way for small and medium customers.

At present, Lenovo ISG is promoting the intelligent transformation of ten major industries including smart education, smart manufacturing, smart finance, smart cities, and smart healthcare. It can be seen that in the digital and intelligent era, the application of new technologies is certainly important, but due to the differences in the level of digitalization of different companies in different industries, new requirements will be imposed on computing power algorithms and infrastructure. At this time, new IT and new computing power Emergence and development are particularly important.