AInnovation Helps Companies Deliver Higher Business Values with an AI+ Strategy
The “new infrastructure” has become a powerful agent to deal with the economic challenges caused by the epidemic and promote scientific and technological innovation. It is also the cornerstone of the development of the digital economy. It covers 7 major areas including 5G, artificial intelligence, big data centers, UHV, rail transit, and new energy vehicles. The field involves many upstream and downstream of the industrial chain. In the long run, the new infrastructure will accelerate the completion of the digital transformation and intelligent upgrade of the Chinese industrial chain, realizing the efficient allocation of production factors and promote the construction of business-oriented data assets, and create a fusion and innovation industry Ecological network.
As a new technology infrastructure, artificial intelligence is regarded as a fusion and innovation tool that supports the transformation and upgrading of traditional infrastructure, and has attracted widespread attention. To achieve this, only artificial intelligence technology is insufficient, and AI technology needs to be combined with actual application scenarios, so the importance of commercialization of artificial intelligence is becoming more and more prominent. In the field of artificial intelligence, AInnovation, as an AI subsidiary of Sinovation Ventures, is an enterprise that focused on the commercialization of AI. At the beginning of its establishment in March 2018, it proposed the enterprise mission of “empowering business value with artificial intelligence”. Commercial solutions help traditional industries to intelligently transform and upgrade and enhance commercial value.
McKinsey data shows that artificial intelligence technology (mainly referring to deep learning technology based on artificial neural networks) will create a potential value of 3.5 trillion to 5.8 trillion US dollars annually around the world, accounting for about 40% of the total value scale that analytical technology may provide. %. Facing the vast market brought by AI technology, Ainnovation selected three industries of manufacturing, finance and retail for AI empowerment. According to Xu Hui, CEO of Ainnovation, AI can empower all industries, but when practicing AI, it is necessary to choose the right industry to enter. There are three main considerations: 1) the market space should be large enough, 2) data The amount should be relatively rich and easy to carry out AI empowerment. 3) The industry’s willingness to upgrade intelligently should be strong.
Taking advantage of the trend, new infrastructure drives AI to empower traditional industries. The traditional infrastructure industry spawned by the Industrial Revolution is moving towards a trend of diminishing marginal dividends. The use of new technological revolutions to inject new vitality into traditional industries that tend to be weak is an inevitable choice to drive the next round of economic development. From the “smart+” of the government work report in 2019 to the proposal of the “new infrastructure” policy in 2020, the integration of artificial intelligence and traditional physical industries has been highly valued by all parties. According to the 2020 new infrastructure analysis report released by Jiazi Think Tank, traditional industry upgrades accounted for the highest proportion of new infrastructure projects in 26 provinces, reaching 31.2%.
The three major areas of innovation and wisdom focus and the development direction of using AI to promote the transformation and upgrading of traditional industries are consistent with the national policy guidelines and technological development trends, which also promotes the rapid growth of innovation and wisdom. Within two years of its establishment, the company has achieved an annual total revenue growth of more than 5 times. According to IDC’s latest report on the Chinese artificial intelligence market software and application market, Ainnovation has ranked sixth in China’s computer vision market share, second only to AI Four Dragons and other companies, and is the annual growth rate of computer vision applications in China (YoY) The highest company.
“The new infrastructure will be a very big opportunity for growth in 2020 and the next few years. The transformation and upgrading of traditional industries with AI will usher in historic opportunities. The introduction of the new infrastructure policy proves that our development strategy is correct and can predict the future AI+ tradition The industry will be a blue ocean with great potential and great room for imagination.” Xu Hui further stated.
Ainnovationprovides a total artificial intelligence solution for the manufacturing, finance, and retail industries, and has been recognized by more than 300 industry benchmark customers.
AI + manufacturing: Ainnovation digs deep into manufacturing application scenarios, creates a “business vision-industrial automation-industrial cloud platform” business panorama, and optimizes the production process of traditional manufacturing through artificial intelligence model algorithms and visual recognition technologies. Reduce costs and increase efficiency, and help the transformation and upgrading of the manufacturing industry. Among them, the industrial vision technology is industry-leading, self-developed and innovative ManuVision industrial vision platform, which combines traditional algorithms and deep learning technology, provides light collection (learning) and mechanical (mechanical) around functional scenarios such as positioning, detection, measurement, recognition, etc. ), electricity (gas), software (parts), calculation (method) in one integrated automation solution, used in high-tech 3C, automotive assembly, clothing and textiles, warehousing and logistics, magnetic materials, engineering construction, iron and steel metallurgy, etc. Subdivide the field. For example, Innovative Intelligence uses AI technology for Zongshen Power to detect quality defects in the engine assembly process. The engine to be inspected is transported under the quality inspection machine through the conveyor belt, and the inspection result can be output in 1 second. The inspection accuracy is 99.99%, which greatly improves Quality control efficiency and product quality.
AI+Finance: Ainnovation is rooted in the 4 dimensions of the digital transformation of the financial industry (digital innovation services, data center technology architecture solutions, cognitive operation platforms, industry AI solutions) to help customers build collaboration mechanisms under intelligent models. Improve personnel efficiency, quickly respond to business transformation and innovation needs, and help enterprises achieve comprehensive digital transformation. For example, for the “Ainnovation ABC all-in-one machine” provided by the data center of financial institutions, through the organic integration of cloud computing, big data, and AI capabilities, a new generation of enterprise data center infrastructure solutions will be built to help reduce energy consumption and serve the society. Contribute to the green economy.
AI+Retail: Ainnovation implements AI retail with the concept of “full retail value chain”, is committed to unifying the multi-end integration of consumer-to-manufacture full-chain data and industrial chain, and provides artificial intelligence solutions around the three elements of people, goods, and markets The scheme helps enterprises reduce costs and increase efficiency in the front, middle and back ends of their businesses. For example, Ainnovation’s Orion automated machine learning platform based on independent intellectual property rights, an intelligent supply chain optimization system built for brands and retailers at the business level, has been optimized for multiple links in a world’s top retail brand. The planning of multiple brand commodities-R & D-production-demand forecasting-intelligent distribution-retail terminal of the entire value chain “open source and throttling”, saving the company an average of about tens of millions of yuan in return costs every year.
Two-wheel drive, challenges and solutions for AI commercialization
During the implementation of artificial intelligence applications, they often face problems such as software and hardware incompatibility, high deployment threshold, and difficulty in large-scale replication. In view of the characteristics of the commercialization of artificial intelligence, Innovation and Wisdom proposed a two-wheel drive model of “technical products” + “industry scenes”. “Technology, products, scenes, engineering, and business” will be developed in parallel to create an AI empowerment matrix.
In the AI era, applications are king, and the most important thing is to find valuable industry scenarios. According to observations, some companies that originally made pure AI technology have entered a bottleneck period, and now they have to embark on the road of transformation to find landing scenarios. However, in the path of planning industry development, to “do something, do something”, AI can empower many industry scenarios, but not all have value. Within the three major industries of manufacturing, finance, and retail, based on long-term industry insights and practical accumulation, Ainnovation has refined several sub-sectors, such as big data centers, engineering buildings, and new energy. Huixin has a large area of infrastructure, and Ainnovation has AI landing experience in these areas: providing PUE energy efficiency management for a large data center, providing wind farm smart operation and maintenance for the Huadian Electric Power Research Institute, and providing tunnel geology for the China Railway Fourth Bureau Radar detection.
The product is the final expression of AI and the transmitter of business value. From the perspective of products, the main products of Innovation and Wisdom also coincide with the development direction of the new infrastructure. The Ainnovation ManuVision industrial vision platform aims at intelligent manufacturing, and improves the quality control level of industrial manufacturing production lines around functional scenarios such as “positioning, inspection, measurement, and identification”. According to the Markets report, the artificial intelligence manufacturing market will reach USD 17.2 billion in 2025, with a compound annual growth rate of 49.5% during the forecast period (2018–2025). Xu Hui also felt deeply about this. According to Xu Hui, the company maintained a growth rate of more than 5 times in 2019, of which the industrial sector accounted for 40% of the company’s total revenue, and this proportion is expected to exceed 50% in 2020.
Another great technological platform of innovation and wisdom-Orion automated machine learning platform, with “decision intelligence” as the focus, launched a series of products and solutions. Among them, the Ainnovation ABC all-in-one machine locates a new generation of intelligent computing infrastructure equipment, drives the intelligent and green development of the data center from the level of IT infrastructure, and has multiple sets of AI operators built in to bring business value to the enterprise. . In addition, PUE energy efficiency management, intelligent operation and maintenance, PHM fault prediction and health management, smart supply chain and other solutions have brought value to the new infrastructure-related industries.
In the process of serving customers, based on long-term in-depth experience in the production line, Innovation and Wisdom has a deep understanding of the problem of enterprise intelligent transformation. Xu Hui believes that in the process of intelligent transformation, enterprises generally face three problems: first, to create value in a controlled time and a controlled cost, the enterprise must be patient and pragmatic, and find a single point of solution Or a single-point economic model, and then slowly enlarge it, you can’t seek the whole world from the beginning. Secondly, many large enterprises still face problems with mechanisms and systems. Because they are familiar with the inherent business processes, it is difficult to rely solely on internal forces for change. The third is that talents who understand both artificial intelligence and industry knowledge are scarce.
Although the road to upgrading the intelligent economic structure is long, it is certain that the new infrastructure is the general trend and irreversible, and artificial intelligence is becoming an important catalyst for the new infrastructure due to its eco-friendly and compatible characteristics. Looking into the future, a group of AI companies represented by Innovation and Wisdom, which are known for their commercialization of artificial intelligence, will usher in their golden moment. Finally, Xu Hui, CEO of Ainnovation, said: “Ainnovation will seize the historical opportunities of the new infrastructure, deepen the promotion of “artificial intelligence to empower business value”, “technical products” + “industry scenarios” two-wheel drive, and continue to vigorously develop manufacturing, The empowerment of AI in the financial and retail industries has become a leading AI to B company, effectively promoting the upgrading of the industrial structure.”
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