What is the future development trend of smart manufacturing?
The development trend of smart manufacturing in the future was as follows: 1. The digital design and simulation technology would be further applied. Through virtual design, data modeling, and other means, companies could speed up the R & D process and reduce their reliance on R & D experience and physical trial and error, thus accelerating the innovation of basic materials, high-end products, and advanced processes. 2. Combining digital twin modeling, analysis, and the entire life cycle of the factory, it optimized and transformed the construction and operation mode of the factory. For example, it could shorten the construction period of the factory and reduce the maintenance cost of key equipment. 3. Speed up the integrated application of advanced control, intelligent equipment and flexible production lines to meet the production needs of high precision, multiple varieties and short delivery time, and achieve the goal of increasing production capacity. 4. The lean management method combined Digital tools to improve the efficiency and precision of planning, production, quality, and other control, achieving the effect of cost savings. 5. The integrated control and self-optimization of safety, energy and environmental protection of the whole plant helped green and safe production, which had been applied in the steel, petrifaction, building materials and other industries. 6. The product life cycle process is connected and business collaboration is promoted to promote product repetition, precise innovation, and customized. 7. The entire production process was opened up, achieving integrated planning and dispatching, coordinated control, and system optimization, thereby creating benefits. 8. Relying on the "platform + network", it optimized the allocation of industrial resources and improved the efficiency, resilience and value creation ability of the supply chain. 9. In terms of the electronic control of industrial chillers, such as the development of the computer board of the chillers, it has the advantages of simple installation, dust and oil resistance, low requirements for assembly workers, and high connection efficiency. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
Future development trend of smart manufacturing
The future development trend of smart manufacturing is mainly reflected in the following aspects: 1. Digital design and simulation: The application of digital design and simulation technology will be further deepened. Through virtual design, data modeling, and other means, companies could speed up the research and development process, reduce the reliance on research and development experience and physical trial and error, and accelerate the innovation of basic materials, high-end products, and advanced processes. 2. Combining digital twin modeling, analysis, and the entire life cycle of the factory: To improve the construction and operation mode of the factory. For example, the digital twins were used by the companies such as Haier, Goldwind, and Shougang to shorten the construction period of the factory and reduce the maintenance cost of key equipment. 3. Speed up the integration of advanced control, intelligent equipment and flexible production lines: Meet the production needs of high precision, multiple varieties and short delivery time. For example, Xugong will build a flexible welding line for 35 kinds of products, and Shanghai Abyss will explore man-machine cooperation flexible mixed line assembly, increasing production capacity by 50%. 4. The lean management method combined with Digital tools improved the efficiency and precision of planning, production, quality, and other control. For example, Anshan Iron and Steel Company used the above methods to save nearly 5 million yuan in annual costs. 5. Integrated control and self-optimization of safety, energy, and environmental protection in the whole plant: It helps green and safe production. The leaders of steel, petrification, building materials, etc., such as Baowu, China National Petrochemicals, Conch, etc., have all been applied. 6. Complete product life cycle processes and business collaboration: promote product repetition, precise innovation, and individual customizations. Bosch, Hai Er, and Global Apparels will use the above methods to continuously create new products and expand into new markets. 7. The whole production process was opened up: integrated planning and dispatching, coordinated control, and system optimization were realized. For example, Jiangsu Yonggang explored the integrated control and optimization of the whole process, creating benefits of more than 100 million yuan. 8. Relying on the "platform + network" to optimize the allocation of industrial resources: improve the efficiency, resilience level and value creation ability of the supply chain. For example, Huawei explored the flexible and resilient IT supply chain, Weihua explored the open equipment cooperative research and development, and PetroChina explored the integrated optimization of the chemical value chain. In addition, in terms of the electronic control of industrial chillers, the future development trend was to be modeled. It had the advantages of simple installation, dust-proof, oil-proof, and low requirements for assembly workers, which could greatly improve the efficiency of connection. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
The future development trend of smart manufacturing
The future development of smart manufacturing has the following trends: 1. ** Digitization and networking **: With the popularity of technologies such as 5G and the Internet of Things, smart manufacturing will rely more on technologies such as big data and cloud computing to achieve a comprehensive digitized and networking manufacturing process. This would help improve the visibility, traceable, and synergy of the manufacturing process, further improving production efficiency and quality. 2. ** Intelligent and autonomous **: Through the deep integration of artificial intelligence, machine learning and other technologies, the intelligent manufacturing system will have stronger self-learning, self-adaptation and self-decision-making capabilities. This meant that the manufacturing process was more intelligent, capable of completing complex tasks on its own and reducing the reliance on human intervention. 3. ** Personalization and customisation **: With the help of big data analysis and user demand mining, the intelligent manufacturing system can more accurately grasp the market demand and realize the customisation and customisation of products. It helps to meet the increasingly diverse needs of consumers and enhance the market competitiveness of the manufacturing industry. 4. ** Deepen the application of digital design and simulation technology **: enterprises can accelerate the R & D process through virtual design, data modeling, and other means, reduce the reliance on R & D experience and physical trial and error, and accelerate the innovation of basic materials, high-end products, and advanced processes. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
Future development trend of the smart industry
The development trend of the smart industry in the future was as follows: 1. ** Artificial Intelligence Industry ** - ** Multi-mode pre-trained large models become standard **: In the development of the artificial intelligence industry, the status of multi-mode pre-trained large models is becoming increasingly prominent. This is also one of the key factors in the competition of domestic large models. In the future, China's large models are likely to be able to achieve early success in the industry. - ** Development of data intelligence-related technologies **: The scarcity of high-quality data will promote the comprehensive improvement of data in the three dimensions of large-scale, multi-mode, and high-quality, forcing data intelligence to leap forward. Based on the cloud-native container environment, the "Hucang-integrated" architecture that supports streaming and batch data processing is expected to become the base of the new generation of data platforms to help improve data quality. - ** Acceleration of the new smart computing power model **: Smart computing power will be everywhere, showing the characteristics of "multi-heterogeneities, software and hardware cooperation, green intensive, cloud edge integration". It is expected to achieve the state of "everything is data","countless non-calculations", and "everything is not smart". - ** Artificial intelligence generated content application full scene penetration **: AIGC application will further improve the efficiency of human content creation, enrich the digital content ecosystem, and open the era of human-machine collaboration. Many scenes that require creativity and new content may be redefined. - ** Artificial intelligence drives scientific research to become platform-based **: From a single breakthrough to a platform-based acceleration, the proven value ability will be deposited into a platform-based tool to increase the universal value to the downstream. - ** General artificial intelligence application exploration launched **: Through embodied intelligence, brain-computer interface and other technologies to explore general artificial intelligence applications, emphasizing the realization of intelligent processing and decision-making based on advanced algorithms such as deep learning, reinforcement learning, evolutionary computing, as well as the two major characteristics of perception, memory, analysis, thinking, decision-making, creation, which are similar to the cognitive architecture of the human brain. Some research institutions and enterprises have begun to explore the combination of ChatGPM and ChatGPM to generate applications that conform to the characteristics of AGI. - ** AI security governance is becoming stricter **: China, the United States and Europe have taken the lead in policies and regulations on AI security governance, and supervision is becoming stricter. - [AI, ethical security, and privacy protection are driving technological innovation]: These requirements will drive the development of related technological innovation. - ** Open source innovation becomes the cornerstone of the AGI ecosystem construction **: With the introduction of encouraging policies and the active participation of enterprises and other entities, open source innovation is expected to promote China to make major breakthroughs in cutting-edge theoretical innovation and become an important cornerstone of China's AGI ecosystem construction, realizing the transformation from "following" to "leading". - ** Model as a Service (Maas) to build the core of the AGI ecosystem **: It has a core position in the construction of the AGI ecosystem. 2. ** Intelligent robot industry **: The degree of intelligence has increased. With the advancement of artificial intelligence and perception technology, intelligent robots will achieve a higher level of independent decision-making and adaptability. 3. ** Overall smart industry **: Take artificial intelligence as an example. Human-machine collaboration has become a major trend in robotic technology. The collaboration robots and traditional industrial robots complement each other to improve production efficiency. Their application scenarios are constantly expanding. For example, in the medical and health field, smart robots can help doctors make early diagnosis, provide customized treatment plans, and monitor the health status of patients. In addition, the smart industry would develop in the direction of enabling thousands of industries, such as opening up more application scenarios in the fields of urban governance, cultural creativity, education, and health, and promoting technology to bring changes to all walks of life. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Future development trend of smart industry
The development of the smart industry showed many future trends: 1. ** Integration of 5G and artificial intelligence ** - ** Expansion of application scenarios **: The integration of 5G and artificial intelligence will open up more new application scenarios. For example, in the field of intelligent transportation, the high-speed connection and low delay based on 5G can realize the rapid development of intelligent traffic management system, vehicle networking and autonomous driving technology, and improve traffic safety and efficiency. In the industrial field, 5G network supports remote operation and real-time data transmission, promoting the improvement of industrial automaton level, such as remote robot operation, intelligent manufacturing, etc. In the fields of entertainment, education, and medical care, the 5G network provided enough bandwith and low delay to promote the large-scale commercial application of augmented reality (AR) and virtual reality (VR) technology. - ** Industrial innovation and ecological construction **: The integration of the two will bring about the innovation and development trend of the smart industry. At the same time, it will build a new smart industry ecosystem and innovative business model. In the process of development, it is necessary to consider the ethics and social impact of the smart industry. 2. ** Artificial intelligence development ** - ** Big model development trend **: The integration and complementation of basic big models and vertical big models will be the future development trend. Leading enterprises and research institutions will continue to expand the scale of basic models and improve high-level abilities such as mathematics and causality reasoning. More enterprises will build vertical models for specific tasks or scenarios to achieve a better balance between generalizations and professionalism, and accelerate the production and implementation of large models. In addition, the "miniaturized" competition for large models had already begun. Small models would open up a wide range of scenarios such as mobile phones, PCs, headphones, slightly, and other wearables. China's large-scale model industry has formed a trend of parallel development of general large-scale models and professional large-scale models. It is expected to take advantage of the model system of "foundation-vertical" coordination,"large-small" integration and adaptation, and center-edge echelon connection, and take the lead in promoting the representative application of the real economy. - ** Integration with society **: With the advancement of the digitizing process of traditional industries, it will provide massive amounts of data and rich application scenarios. Artificial intelligence will further integrate with all aspects of society. However, due to the widespread concern about the risks of artificial intelligence, the development of reliable and controllable artificial intelligence became a global consensus. - ** Market growth **: The artificial intelligence industry will maintain steady growth. The national "14th Five-Year Plan" policy supports the development of the industry. During the period of 2024 - 2029, the market scale of China's artificial intelligence industry will further expand. In 2029, the market scale will exceed the trillion mark. 3. ** The layout and cluster of the smart industry **: For example, when Shanghai Xuhui District develops a 100 billion industrial cluster of artificial intelligence, it will continue to support basic research and open up more application scenarios such as education, health, urban governance, cultural creativity, etc. to promote the technology of artificial intelligence and large models to truly enable thousands of industries. 4. ** Global development pattern **: China is expected to build a global competitive artificial intelligence industry cluster. While the global artificial intelligence industry is becoming more mature and rational, it is also nurturing new opportunities for a change in the model. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Future development trend of smart home
From the current situation, smart homes may show the following development trends in the future: ** 1. Technology ** 1. ** Enhanced intelligence and automaton ** - With the continuous development of artificial intelligence technology, the level of intelligence of smart home devices would be further improved. For example, the intelligent voice assistant would understand the user's intentions more accurately. For example, the small intelligent voice assistant already had the ability to recognize speech and understand semantics. In the future, it would execute complex instructions more accurately and predict the user's needs. - The automatic connection between the equipment would be more perfect. For example, when the smart door lock detected that the owner had returned home, it automatically turned on the indoor lights, adjusted the temperature of the air conditioner, played music, and so on, achieving a more seamless home scene switching. 2. ** Integration with emerging technologies ** - 5G technology will continue to support smart homes, making communication between devices faster and more stable. This could help with more complex functions such as real-time high-definition video surveillance and fast data transmission. - The development of the Internet of Things technology will enable more home devices to connect to the network and expand the ecosystem of smart homes. In addition to the common smart home appliances, smart door locks, etc., there might be more small household items that could be smart, such as smart tableware, smart vases, etc. ** 2. The product level ** 1. ** Function integration and lightweight ** - Smart home products will tend to integrate functions and reduce the number of devices in the user's home. For example, a device might integrate multiple functions, such as the integration of smart slightly and smart routers, which could serve as a voice control center and provide network services. - The design of the product would be lighter and easier to install and use. Smart sockets, smart switches, and other products would shrink in size while maintaining their functions, making it convenient to use in different scenarios. 2. ** product optimization and innovation ** - From the perspective of patents, companies constantly optimized their products. For example, the smart door lock patent of Guangdong Haotaitai's smart home, by improving the structure of the lock tongue to avoid noise when the lock tongue extends; Zhongshan City Smart Home Technology's fan lamp patent, by setting a guide slope to weaken the blocking effect of the extension on the air supply. In the future, companies would continue to carry out innovation and optimization in terms of product performance and user experience. ** 3. Market Level ** 1. ** Growth in market size ** - In the past, due to falling prices, the smart home market had already grown in 2023, and this growth trend was expected to continue. More consumers would accept smart home products, and the market penetration rate would continue to increase. - By 2025, according to the relevant policy plans, many well-known brands and eco-brands would be cultivated in the home industry, and a smart home experience center would be established, which would further promote the development of the smart home market. 2. ** The importance of services has increased ** - The importance of software and services in the smart home is becoming increasingly prominent. For example, as the maturity and usefulness of software and services increased, consumers could unlock more features by paying, such as larger cloud storage for smart cameras and more surveillance services. - The demand of consumers for smart homes shifted from simple product purchase to service experience, such as customized smart home solutions, remote monitoring and maintenance of equipment, etc. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
The future development trends of smart manufacturing include
The future development trends of smart manufacturing include: 1. The digital design and simulation technology would be further applied, and more functions would be realized through virtual means. 2. The entire research and development process was combined with virtual design and data analysis to accelerate the innovation of basic materials, high-end products, and advanced processes. 3. Combining digital twin modeling, analysis, and the entire life cycle of the factory, it optimized and transformed the construction and operation mode of the factory. 4. Speed up the integration of advanced control, intelligent equipment and flexible production lines to meet the production needs of high precision, variety and short delivery time. 5. The lean management method combined Digital tools to improve the efficiency and precision of planning, production, quality, and other control. 6. The safety, energy, and environmental protection of the entire plant were integrated and self-optimized to help green and safe production. 7. The product life cycle process is connected and business collaboration is promoted to promote product repetition, precise innovation, and customized. 8. The entire production process was opened up, achieving integrated planning and dispatching, coordinated control, and system optimization. 9. Relying on the "platform + network", it optimized the allocation of industrial resources and improved the efficiency, resilience and value creation ability of the supply chain. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
What is the future development trend of the smart industry?
The development of the smart industry showed many trends: 1. ** Integration of 5G and artificial intelligence ** - With the integration of 5G and artificial intelligence, there would be more new application scenarios and business models. For example, the ultra-high speed and low delay of 5G supported the large-scale commercial application of augmented reality (AR) and virtual reality (VR) technology, covering education, medical care, entertainment and many other fields. It also promoted the development of autonomous driving and intelligent transportation, including intelligent traffic management systems, car networking and autonomous driving technology to improve traffic safety and efficiency. It could also promote the improvement of industrial automaton, such as remote robot operation and intelligent manufacturing. - The smart industry would build a more complete ecosystem, and the business model would continue to be innovative. At the same time, he had to consider the ethics and social impact of the smart industry. 2. ** Large model development ** - The generalizations of the basic model and the professionalism of the vertical model would complement each other, and "walking on two legs" would become the trend in the future. Big models would develop in different directions. Leading companies and research institutions would continue to expand the scale of basic models and improve high-level abilities such as mathematics and causality reasoning. More companies would build vertical models to balance generalizations and professionalism, and speed up the production and landing. - The competition for "miniaturized" large models at home and abroad had already begun. Small models would open up a wide range of scenarios such as mobile phones, PCs, headphones, slightly, and other wearables. In China, the big model industry has formed a trend of parallel development of general and professional big models. It is expected to take advantage of the model system of "foundation-vertical" coordination,"large-small" integration and adaptation, and center-edge echelon connection, and promote the representative application in the real economy field. 3. ** Overall development of artificial intelligence ** - Artificial intelligence would further integrate with all aspects of society and promote the reliable and controllable development of artificial intelligence. Multi-mode pre-training large model has become the standard of the artificial intelligence industry; The scarcity of high-quality data will force the leap of data intelligence; The new computing model with ubiquitous intelligent computing power will be accelerated; The application of artificial intelligence-generated content will penetrate into the whole scene; Artificial intelligence drives scientific research from a single point breakthrough to a platform; Open the exploration of general artificial intelligence applications such as embodied intelligence and brain-computer interface; Artificial intelligence security governance is becoming stricter, tighter and more difficult; It can be explained that AI, ethical security, privacy protection, etc. will give birth to technological innovation opportunities; open source innovation will be the cornerstone of the construction of the AGI ecosystem; model as a service (Maas) will be the core of the construction of the AGI ecosystem. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
What is the future development trend of smart homes?
The following are the possible development trends of smart homes in the future: 1. ** The market size continues to grow **: In 2023, due to the decline in the price of smart home devices, the shipment volume will increase by about 25%. As more consumers accept the concept of smart home, the market size is expected to further expand. Moreover, software and services would also accelerate their growth in the short term, driving the development of the entire smart home market. 2. ** Function integration and acceleration of innovation **: The products are constantly being iterated. Intelligent practicality is greater than marketing gimmicks. New products that are more integrated, lightweight, and redundant are constantly emerging. The 5G + AIOT era will accelerate the speed of product innovation. 3. ** The establishment of more brands and experience centers **: By 2025, it is planned to cultivate about 50 well-known brands, 10 home ecological brands, and establish 500 smart home experience centers in the home industry. This will promote the popularity and development of smart homes. 4. ** Divergence of popular consumer-grade products **: Currently, the ranking of smart products is smart slightly, smart door locks, smart cameras, smart home appliances, smart sockets, smart switches, smart curtains, smart routers, and smart drying racks. In the future, more types of smart products may enter the consumer market and change the ranking pattern. 5. ** The emergence of new screen products **: In the future, smart scene panels, background music panels, smart attached slightly, cloud intercom indoor hosts, smart magic mirrors, etc. may become the fourth standard screen in the family. 6. ** Smart panel trending **: Smart panels were originally a niche smart product in the villa field. Due to the demand of the high-end market and the mass B-end market, a new trend of smart panels was formed. Although smart switch panels were still a niche product in the mass market, there was a trend of development. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
The development trend of intelligent manufacturing
The development trend of smart manufacturing was as follows: ** I. Production related trends ** 1. ** Research and development ** - The entire research and development process would be combined with virtual design and data analysis. Enterprise could use this to accelerate the innovation of basic materials, high-end products, and advanced processes. After applying these methods, companies such as Ningde Era, Dongfeng cummins, and Tesla could improve the efficiency of material, product, and process innovation by 30% - 50%. 2. ** Factory Construction and Operation ** - The digital twin modeling and analysis would be combined with the entire life cycle of the factory to optimize and transform the construction and operation mode of the factory. For example, companies such as Haier, Goldwind, and Shougang used digital twin technology to shorten the construction period of factories and reduce the maintenance costs of key equipment. 3. ** Production Execution ** - Speed up the integration of advanced control, intelligent equipment, and flexible production lines to meet the production needs of high precision, variety, and short delivery. For example, Xugong built a flexible welding line for 35 kinds of products, and Shanghai Abyss explored man-machine cooperation to increase production capacity by 50%. 4. ** Production Control ** - The combination of lean management methods and Digital tools improved the efficiency and precision of planning, production, quality and other control. After applying these methods, Anshan Iron and Steel Company saved nearly 5 million yuan annually. 5. ** In terms of the entire production process ** - Realizing integrated planning and dispatching, coordinated control and system optimization, such as Jiangsu Yonggang's exploration of integrated control and optimization of the whole process, the benefits exceeded 100 million yuan. ** 2. Overall trends in business operations ** 1. ** Green, Safety, and the environment ** - The safety, energy, and environmental protection of the entire plant were integrated and self-optimized to help green and safe production. In the steel, petrification, building materials and other industries, such as Baowu, PetroChina, Conch and other leading enterprises have been applied. 2. ** In terms of product life cycle ** - The product life cycle process is connected and business collaboration is promoted to promote product repetition, precise innovation, and customized. Bosch, Hai Er, Global Apparels, and other companies used this method to continuously create new products and expand into new markets. 3. ** In terms of supply chain ** - Relying on the "platform + network", it optimized the allocation of industrial resources and improved the efficiency, resilience and value creation ability of the supply chain. For example, Huawei explored the flexible and resilient IT supply chain, Weihua explored the open equipment cooperative research and development, and PetroChina explored the integrated optimization of the chemical value chain. ** 3. Technique-related trends ** 1. ** Digital design and simulation ** - The digital design and simulation technology would be further applied. Through virtual design and data modeling, companies could speed up the research and development process and reduce their reliance on research and development experience and physical trial and error. 2. ** In terms of automated and intelligent production ** - Highly-automated and intelligent production will continue to develop. By introducing advanced robots, automated equipment, and intelligent systems, the production process could be automated and intelligent, improving production efficiency, reducing labor costs, and improving product quality. The intelligent production line could automatically adjust equipment and process parameters according to different product needs to achieve flexible production. 3. ** Data driven decision-making ** - The data-driven decision-making and optimization will continue to deepen. Intelligent manufacturing collects and analyses a large amount of data in the production process. Intelligent decision-making systems monitor production status in real time, predict potential problems and provide optimization suggestions, improve the level of production management refinement, and reduce production risks and costs. 4. ** Internet of Things technology application ** - The application of the Internet of Things technology would be more widespread. Devices and systems can be interconnected and exchange data through the Internet of Things technology, improving the synergy and flexibility of the production process while providing a safe and reliable communication and data processing environment. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
What is the current status and trend of smart manufacturing?
China already had the foundation and conditions to develop intelligent manufacturing. It had obtained many basic research results and mastered some intelligent manufacturing technologies, such as robot technology and perception technology. The intelligent manufacturing equipment industry system represented by new sensors had taken shape. The penetration rate of Digital tools used by industrial enterprises above designated size in R & D and design reached 54%, and the proportion of numerical control equipment on the production line reached 30%. In terms of characteristics, intelligent manufacturing generally has the characteristics of taking the smart factory as the carrier, the intelligence of the key manufacturing links as the core, the end-to-end data flow as the foundation, and the network connection as the support. It can also be understood as the widespread implementation of digital manufacturing mode from the factory workshop to the enterprise business, covering product design, supply chain, production, distribution and sales. In terms of applications, market demand prompted the manufacturing industry to need more flexible and efficient production methods to meet the increasingly diverse and individual consumer needs, such as the continuous expansion of the market share of high-end products. However, there were also some problems in the development of smart manufacturing. Many manufacturing companies discovered many pain points when they actively tried smart manufacturing. For example, they lacked a unified technical base to apply to scenarios such as medium and long tail specialization; the flexibility of finished software was low, restricting business innovation; it was difficult to recruit IT talents; the investment cost was high, requiring a large amount of investment in capital, technology, and talents in the early stage, and continuous maintenance and management in the later stage; the existing software systems could not be interconnected, and the migration cost and difficulty were high. In terms of trends, digital transformation has become an important option for the upgrading and development of the wine industry. The entire intelligent manufacturing industry is also experiencing rapid development and transformation. The integration of technologies such as big data analysis, Internet of Things, and artificial intelligence is the development direction. It can improve the efficiency, flexibility, and visibility of supply chain operations and achieve deep integration of upstream and downstream. However, at the same time, it also faces challenges such as data security and privacy, corporate culture, and organizational structure changes. Multi-dimensional strategies such as cultivating or introducing technical talents to achieve a successful transformation. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!