Digital transformation has swept the world in the past few years. With the widespread application of new technologies, new opportunities and values are constantly being discovered and created. To some extent, digital transformation is no longer an “optional” but a “must-have”.
At present, more than 170 countries and regions have formulated their own digitalization-related strategies; third-party data shows that global digital transformation spending will reach US$3.4 trillion in 2026; in addition, according to the "Digital China Development Report (2022) )" shows that China's digital economy will reach 50.2 trillion yuan in 2022, ranking second in the world in total, with a year-on-year nominal growth of 10.3%, and its proportion in GDP will increase to 41.5%. It can be said that the rapid development of digital transformation and digital economy, the wide scope of radiation, and the depth of influence are “unprecedented”.
However, we must also note that the "flywheel effect" of digitalization is far from reaching the critical point of being "self-driven". The key reason behind it is that the ever-changing technological innovations are constantly "emerging", especially since this year, with the emergence of generative With the explosion of AI and AI large models, the importance of AI in thousands of industries has become increasingly prominent. Countless new application scenarios are being intelligently changed, and data-driven intelligent upgrades are also "accelerating". Come.
In other words, as digital transformation continues to deepen, digitalization is accelerating into the "second half", and industry intelligence has become a certain trend in the future. It is precisely for this reason that how to better promote intelligence to play a greater role in the development of the digital economy and serve the intelligent upgrade of more enterprises and industries has become a new topic for the entire industry.
From the information age to the digital age and then to the intelligent age, Huawei has taken the lead in proposing the development concepts of "All IP", "All Cloud", and "All Intelligence" to help industry upgrade. During the Huawei Connected Conference 2023, Huawei once again put theory and practice first.
Wang Tao, Huawei's Managing Director, Director of the ICT Infrastructure Business Management Committee, and President of Enterprise BG, delivered a speech on the theme of "Accelerating Industry Intelligence", sharing the latest thoughts and practices on accelerating industry intelligence, and officially released the new architecture of the Shengteng AI computing cluster. Atlas 900 SuperCluster, based on the latest industry intelligent reference architecture, has released nine industry intelligent solutions, hoping to "enable various modes, empower thousands of industries, and accelerate industry intelligence."
Digital and intelligent “spiral” development
Entering 2023, the explosion of generative AI has triggered a new AI era—the era of large models. Large models not only trigger the overall upgrading of the AI industry, various large models "emerge one after another." More importantly, because of big models, the next turning point of the digital economy is also accelerating - the intelligent transformation of entire industries and industries is accelerating, and it is driving structural changes in the overall economy.
Behind this huge change, it is actually directly related to a series of revolutionary and milestone technological innovations in the field of AIGC in the past six months or so. It can be said that this has also announced the arrival of the era of general artificial intelligence, and it will also be necessary in the future. It will set off a new wave of intelligence and revolution in enterprises and industries. Specifically:
First, AI has redefined the human-computer interaction model. In particular, the explosion of generative AI represented by ChatGPT in the past six months is not only rapidly reshaping the interaction model between people and machines, but also people and data in enterprise applications. Therefore, with the help of AI "Copilot" tools, it will be possible to improve efficiency from Three aspects: , operation, and collaboration bring changes to the operation and management of the entire enterprise organization.
Second, AI brings huge room for imagination for enterprises to unleash intelligent productivity. For enterprises, the outbreak of AIGC will have a significant impact on customer service, sales markets, knowledge management, and assisted decision-making. In addition, AI large models also have wide applications in the retail, manufacturing, logistics, and medical industries. Prospects will help enterprises achieve digital transformation and innovative development, and promote the intelligent and sustainable development of the industry.
Third, AI has also reshaped the knowledge inheritance model within the enterprise. Taking the manufacturing industry as an example, in the past, the research and development of new products required the long-term investment of a large number of system engineers with rich knowledge and experience. However, in the future, the enhanced learning of knowledge in specific fields through AI will greatly improve the efficiency of product research and development, and the entire research and development process will undergo great changes. This also means that from "apprenticeship and apprenticeship" to "machine apprenticeship and apprenticeship", industry experience and industry knowledge will be transformed into data and become the nourishment of AI, thereby better assisting enterprises to improve production and operation efficiency.
It can be said that AI has become an indispensable new infrastructure in industrial transformation, and the intelligent transformation of the industry will also be an important trend in the future. For enterprises or industries, future digital transformation and intelligent upgrades will also show a "spiral" upward process.
On the one hand, enterprise digital capabilities will be the "foundation" of intelligent transformation, and the interconnection of data and information will be a prerequisite for all intelligent applications. The development of intelligent levels will also put forward new requirements for the digital foundation, forcing Enterprises are further improving their digital capabilities, so the development of digitalization and intelligence itself are "mutual complements"; on the other hand, digitalization and intelligence are also showing a trend of accelerating integration with each other. It should be said that the granularity and depth of enterprise digitalization are one It is a long-term and continuous process of refinement, in which intelligence will continue to “penetrate” and accelerate integration. Similarly, there are no clear boundaries for digital construction. Enterprises do not need to fully build digital capabilities before starting intelligent construction.
It can be seen that the "leap" process of an enterprise's digitalization to intelligence is essentially a process of "superimposing" capabilities on each other and continuously expanding value creation. The better the digital foundation of an enterprise, the greater the value and impact of intelligence will be. , even if a small intelligent scene is implemented, it may have the value of "making a big difference". From this perspective, accelerating the intelligent transformation and upgrading of the industry will undoubtedly maximize the value potential of enterprises during the "spiral" process of enterprise digitalization and intelligent construction.
Get through the “last mile” of intelligent implementation
There is no doubt that, like the development process of the first three industrial revolutions, the future development of AI in the industry will also follow the same paradigm. Can it solve a series of pain points in a large number of AI "long tail" applications? Can it reduce the production factors of AI? The cost, whether it can run through large-scale intelligent innovation in industries, and whether it can integrate technology and scenarios to form new intelligent productivity can truly benefit China's thousands of industries.
In Wang Tao's view, in the process of industry intelligence, the entire industry is currently facing four challenges: including industry data that is difficult to collect, transmit, and use; large model training requires large computing power, and enterprises need flexible computing power. supply to meet diversified computing power needs; in addition, basic large models are difficult to meet the accuracy requirements of enterprises, and a large number of industry large models and scenario large models are needed; finally, the business processes and business scenarios of enterprises are very complex, how to use AI Deep integration with enterprise business is an issue that needs to be considered. Based on this, Huawei proposes to work together to accelerate the intelligence of the industry from three aspects: "intelligently connecting everything, intelligently computing tens of thousands, and intelligently empowering all industries."
Intelligent perception makes the physical world intelligent. In the era of intelligence, the perception system needs to be comprehensively upgraded to achieve multi-dimensional ubiquity, open interconnection, intelligent interaction, and easy-to-use intelligence. In this regard, in order to achieve open interconnection, the Hongmeng IoT operating system "came into being" to achieve data collaboration through a distributed soft bus, unify the language of sensing devices, and have the characteristics of ultra-safe, easy to use and easy to maintain.
Intelligent connection allows data to be connected widely and transmitted quickly. Data must not only be collected completely and well, but also be widely connected and transmitted quickly. It requires high-quality connections to achieve intelligent connectivity of all things, ultra-wide elasticity, lossless intelligence, and self-intelligence and self-control. At the same time, at the network aggregation and backbone layers, 400G/800G metropolitan area networks allow enterprises to quickly connect to cloud, computing, and intelligence, enabling "digital data in the east and compute in the west", "data in the east and training in the west", and "data in the east and data in the west" . In addition, Huawei's high-quality 10G campus network can handle office, production, IoT and other needs in one network.
With tens of thousands of intelligent computing capabilities, Huawei and industry partners have jointly built an open and leading AI basic software and hardware platform around Shengteng, creating a solid computing base for China and building a second choice for the world. It is worth mentioning that Huawei has also changed the traditional server stacking model and created the AI cluster Atlas 900 SuperCluster with system architecture innovation to achieve an integrated design of computing power, transportation capacity, and storage capacity, and break through the bottleneck of large computing power.
Wisdom empowers all industries, solving the problem of difficulty in implementing AI in industry scenarios , achieving deep integration of various models and industry scenarios, and empowering thousands of industries. In this regard, through industry corps operations and extensive cooperation with industry partners, Huawei has created more than 200 intelligent solutions for more than 20 industries such as government, finance, transportation, and manufacturing, and has achieved success in a series of intelligent projects. application.
Combining these practices with a large number of customers and partners, as well as the outlook for the intelligent world 2030, Huawei officially released the "Accelerating Industry Intelligence" white paper. The white paper condenses the experience and wisdom of all parties, including not only the development trends and latest developments of artificial intelligence , 16 industries, 63 scenarios of artificial intelligence application exploration, and also selected intelligent innovation practices in 18 industries, which can be said to provide more specific guidance for the implementation and implementation of intelligent transformation in thousands of industries. Help and reference.
Based on the latest industry intelligent reference architecture, Huawei has joined forces with customers and partners to release intelligent solutions for nine major industries, including finance, government affairs, manufacturing, electric power, and railways. In the future, Huawei will continue to work with partners to create more industry solutions and promote the deep integration of AI and industry scenarios.
It is not difficult to see that the development of intelligence in the entire industry has entered a new stage, which also forces the entire technological innovation system to evolve and evolve accordingly. Huawei focuses on "intelligently connecting everything, intelligently computing tens of thousands, and intelligently empowering millions". The "industry" layout will truly release the value of AI technology hundreds or thousands of times. The value behind it can be interpreted from three dimensions:
First, as the richness of application scenarios increases, the amount of data and algorithm complexity also gradually increases, which puts forward higher requirements for the "collaboration" of transportation capacity, computing power, and storage capacity, and Huawei "integrates the capabilities of the three." "Integrated", making all-round preparations for the intelligence of the industry based on the technical base.
Second, for AI to enter the core production links of the industry, the key is to further promote the deep integration of AI technology and industry scenarios, so as to maximize the "last mile" of AI implementation in the industry. In this regard, Huawei itself not only There are a large number of successful practices, and the white paper "Accelerating Industry Intelligence" was released based on accumulation and practice. I believe it will also provide more reference and reference value for promoting the implementation of industry intelligence.
Third, Huawei's specific measures and practices in joining hands with industry customers and ecological partners to accelerate industry intelligence also represent Huawei's approach to a higher-dimensional industry ecological perspective, a full range of technical capabilities, and a full-scenario approach. The industry empowerment method enables hundreds of models and industries, which truly reflects Huawei's determination and confidence in accelerating the implementation of industry intelligence.
Helping the industry to become smarter and more practical
As the so-called "Spring River Plumbing Duck Prophet", it should be said that Huawei's acceleration of industry intelligence layout is of extremely important significance today. The reason is that in the past, AI capabilities were often patented by large companies, and only by making them available to thousands of industries Only universal AI capabilities can promote the intelligent transformation of the entire industry in China. In a true sense, AI has become the "water" and "electricity" for enterprises to move into the AI era. In this regard, it should be said that China has already done a good job Comprehensive preparations were made and a certain foundation was laid.
First of all, from a policy perspective, thanks to important national policies such as the "14th Five-Year Plan for Digital Economy Development", China's intelligent transformation of thousands of industries is further accelerating; in addition, the ubiquitous computing power has It has become a new type of productivity after water and electricity, and with the implementation of national strategies such as "digitizing the east and calculating the west", the pace of "universal intelligence" has been accelerated, which has brought more business opportunities and opportunities to the intelligent transformation and upgrading of enterprises and industries. Competitive Advantage.
Secondly, from a technical perspective, with the continuous explosive growth of computing power and data, the form of artificial intelligence technology is also constantly changing. At present, we see that large AI models have begun to be deeply integrated with scenarios and industries. For example, the emergence of large models in areas such as code generation and protein structure prediction has verified that large models can not only be used in technology companies, but also take steps towards all walks of life. In the future, large AI models will be closely related to the industry. Further in-depth integration will surely become a key part of the digital transformation of enterprises and the intelligent upgrading of industries.
Finally, from a scenario perspective, intelligence has become a new kinetic energy and driving force in China’s current industrial upgrading and enterprise digital transformation. Especially because the online and offline ecology and scenarios are far richer and more diverse than those in other countries, China’s economy Structural differences and different application scenario requirements in subdivided industries have given great imagination to innovations based on new technologies such as AI. This also means that more and more companies hope to create new products through intelligent transformation. More new business formats, new services and new models with room for imagination.
Gartner pointed out in "Chinese Enterprise Artificial Intelligence Trend Wave 3.0" that Chinese companies are shifting their artificial intelligence projects from prototypes to production. Most companies no longer worry about why they need AI capabilities, but pay more attention to the construction of AI engineering capabilities. They They all hope to select existing general-purpose large models and fine-tune them to adapt to the business scenarios of their industries and enterprises, and truly use AI to improve industry and enterprise productivity.
From this perspective, in the past three years, Huawei has established an "industry army" to go deep into the industry and scenarios, shorten the management chain vertically, and better respond to customers' intelligent needs; at the same time, it has rapidly integrated R&D resources horizontally to fully support thousands of industries. The intelligent transformation and development of the industry not only contributes to the intelligent practice of the industry and explores forward progress, but also allows more industry customers to "stand on the shoulders of giants" to create differentiated competitive advantages.
For example, in the financial field, the financial large model solution is based on Shengteng AI computing cluster and hundreds of billions of large models to build credit, risk control, customer service and other scenario solutions. The efficiency of credit report approval has been increased by more than 50%, and the accuracy of identification of corporate financial anomalies has been improved. 38%, accelerating the digitalization of financial services; in the field of government affairs, large-scale government model solutions build urban AI computing infrastructure, empower urban intelligent upgrades, drive rapid growth of the digital economy, achieve efficient government offices, convenient government services, and accurate Urban governance.
In the field of manufacturing, smart factory solutions create an industrial AI platform for cloud-edge-device collaboration to realize the intelligence of quality inspection, equipment maintenance, scheduling and logistics, and help manufacturing companies continue to improve quality, reduce costs and increase efficiency. The product defect identification rate can reach over 99%, the response speed to production problems is increased by 40%, and the average delivery cycle is reduced by 20%;
In the power field, the new energy power prediction AI solution is based on the Shengteng AI computing power center and breakthrough algorithms. It works with partners to build a cloud-edge collaborative new energy power prediction solution. It provides "one-stop, one-policy" accurate prediction services and achieves prediction speed for the first time. It has been improved by 140 times, and the prediction accuracy has been improved by 3% to 5%, helping to comprehensively improve power generation efficiency and green power consumption capabilities.
There are “numerous” such cases, and looking forward to the future, Huawei will work with its partners to create more industry solutions and promote the deep integration of AI and industry scenarios. As Wang Tao said at the end: "Intelligence has opened a new chapter. Facing the opportunities and challenges of the intelligent era, let us work together to build a solid computing base, enable hundreds of modes, go deep into scenarios, and empower Thousands of industries, accelerate the intelligence of the industry!"
Generally speaking, digitalization is accelerating into the "second half", and industry intelligence is already a definite development trend. This also means that intelligence will move towards a broader market, and it is also driving the entire industry to "moisten things silently". The "evolution" of industry intelligence, and in this process, Huawei has promoted AI into various core production links in the industry through key technology base innovation and joint partners, better empowering thousands of industries, and believes that it will make the industry intelligent. To truly "go deeper and become more practical", its value can be said to be: "not only about the present, but also about the future."
Shenyao's Technology Observation was founded by Shensky, a senior technology media person. He has 20 years of experience in enterprise-level technology content communication and has long been focused on the observation and thinking of industrial Internet, enterprise digitalization, ICT infrastructure, automotive technology and other contents.
