Under the digital economy, how should the four innovative technologies be laid out? In recent years, China’s digital economy has risen rapidly and digital industrialization has intensified. The proportion of ICT investment in agriculture, industry, and service industries has increased year by year. Since 2016, China’s digital economy has reached 226 trillion yuan, accounting for 30.3% of the 16-year GDP. With the advent of the digital economy, four major innovations in artificial intelligence, big data, cloud computing, and data centers have begun to show up. Lack of autonomy, crisis behind artificial intelligence AI, hailed as a universal technology that leads the revolution in science and technology, is deployed in China in large scale thanks to its unique demographic and technological advantages. Behind the artificial intelligence popularization, the hidden danger has been buried for an early time. Recently, the U.S. Department of Commerce’s refusal to activate has once pushed ZTE to the forefront. Behind the turmoil, worthy of deep contemplation by the domestic industry, "the lack of core and soulless" manufacturing industry, out of the support of overseas core technology, but also how far can go? How can China's manufacturing 2025 plan to be successfully completed. When the entire industry faces new technical barriers and overcomes it, it has become the ultimate goal of this war. Despite the fact that the media is extremely fierce in technology, the technical forces are more than capable and the future of the industry has brought deeper and farther enlightenment. The problems encountered today are not only the problems of ZTE, but also the current microcosm of China's manufacturing. Large and strong companies, not only cover large-scale coverage but also require strong core technical support. Artificial intelligence terms appear frequently in the middle of media forums and forums of major summits. When they think about it and lose their core chips, the future of AI is not clear. The more so, the industry increasingly needs to seek innovation, break through technical barriers, and achieve independent research and development as soon as possible! The next dimension, a comprehensive upgrade of digital nuggets In the era of information explosion, data has become a source of resources for many companies to compete for. When laws and regulations are not sound enough, commercial capital has started its own strategy. Around the data assets, data companies from different countries emerged at the historic moment. Relying on the massive data size in the information age, rapid data circulation during explosions, various data types, and low-density data values, data companies turned on the Nuggets model. Not just the IT industry, new retail, pharmaceuticals, and automotive manufacturing are beginning to focus on data. Behind the sound is a comprehensive upgrade of data development. Recently, Zhang Feng, Chief Engineer of the Ministry of Industry and Information Technology, publicly stated that although the domestic data situation looks optimistic, building a strong data country still faces five major problems: 1. Big data originality technologies and products are still not in circulation, and system platform technology solution innovations need to be improved; 2. The level of data sharing is insufficient. Cross-sector industry data sharing is not smooth, and valuable public information resources and business data are not fully flowed; 3. The application of big data has problems such as the application is not extensive and the degree is not deep. The penetration of core business needs to continue to increase; 4. The system of personal information protection, data asset management and protection under the big data environment is not perfect; 5. Big data talent gap is huge. There is a serious lack of comprehensive talents that meet the business needs of the industry and master big data technology and management; The road to long-distance data, how to collect, mine, analyze, use current information, release data value, deepen the "big data +" strategy, and become the common desire of a new generation of IT talent. Cloud computing, about the smooth transition of strategy Since its deployment to the present, cloud computing has become an old member of the technology team. As time goes on, cloud computing applications continue to grow and continue to grow, and companies have more and more opportunities to choose cloud computing deployments. In response to this situation, from the strategic to the tactical, cloud computing service providers began to transition to a new phase. Today, the company's attitude toward cloud computing is subtle and contradictory. Most enterprises recognize the necessity of cloud computing deployment but are also skeptical about cloud computing information security. They refuse to deploy the same-brand cloud service at a glance and choose a "cloudy" mix, which seems to be the first choice for many medium and large enterprises. In response to customer demand, various cloud service providers began to show their strengths. Tencent, Ali and other Internet providers have adopted a vertical extension strategy, gradually shifting from IaaS to SaaS and PaaS. Other traditional IT service providers are "third parties" that adhere to a neutral attitude, respect corporate data, do not involve data ownership and other related operations, and do not compete with enterprises. SDDC, redefining the data center With the transformation of business needs, the current market business is no longer satisfied with the traditional, bulky IDC deployment. SDDC has begun to reshape the traditional data center architecture and bid farewell to the once-unique, inflexible design. Software-defined data centers are software-defined computer platforms that are virtual machines or application containers—a combination of software-defined storage and software-defined networking. These three software components are then controlled by system management software that handles the configuration, and life cycle of virtual machines, storage, and networking. With advances in processor performance, storage capacity, and network capabilities, hardware costs are greatly reduced. Data center deployments do not need to rely on the performance of each byte of the squeeze hardware, but focus more on how to use functional software more effectively. The use of hardware. In the future domestic environment, the four innovative technologies will become an important pillar of the digital economy, whether it is the use of automatic driving control, urban brain thinking, medical image analysis and intelligent speech recognition technology to rapidly increase AI computing power; or rely on massive data size, Fast data flows, diverse data types, and low-density data values ​​dominate assets in the data dimension; or the future of cloud computing is supported by software-defined computation, storage, networking, and security; or with an open, integrated architecture, Standardization of automatic operation and maintenance, hardware modularization, virtualization, miniaturization, and intelligent data center reconstruction will all open up a different kind of digital economy. In the domestic environment, the four innovative technologies will become an important pillar of the digital economy, whether it is the use of automatic driving control, urban brain thinking, medical image analysis and intelligent speech recognition technology to rapidly increase AI computing power; or rely on massive data size, trans-Soviet Data flow, diverse data types, and low density. Rely on massive data size, rapid data flow, diverse data types, and low-density data values ​​to dominate assets in data independence, or to support the future of cloud computing through software-defined computing, storage, networking, and security; or It is a series of transformations such as the open integrated architecture, standardized automatic operation and maintenance, and hardware modularization, virtualization, miniaturization, and intelligent data center reconstruction, which together open up the future of digital economy.
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