Recently, words "digitalization" and "digital transformation" have become popular, and digital transformation has become standard configuration for transformation and development of enterprises. It appears that businesses are exploring and implementing digital transformation. At same time, many do not really understand connotation and difference between informatization, digitalization and intelligence. If this problem is not clarified, enterprises will not be able to understand “what”, “why” and “how”. "digital transformation. dry" question. To this end, this article examines connotations and differences of informatization, digitization and intelligence.
Understanding informatization, digitization and intelligence
1. Understanding Informatization
Informatization is based on optimization and reconstruction of business processes. Thanks to effective integration of information technology and real business, real business objects and business processes are reconstructed and fixed in IT system, as well as business events are recorded. , to realize efficient corporate information exchange and efficient business cooperation, form business monitoring and understanding, improve work efficiency, optimize resource allocation, support efficient analysis and decision making, and then enhance enterprise competitiveness and economic benefits.
Informatization has not changed logic of real business, and corporate thinking mode is still based on real world, but traditional business model is moving from offline to online and transferred to IT System Informatization means anchoring and automating an optimized business -process and providing support for business decisions.
The process of informatization is also a process of gradually increasing importance of data. With improvement of technology and cognitive level, depth and breadth of informatization supporting business of an enterprise is getting higher and higher, volume of data required by enterprises is increasing, and need for data aggregation and sharing is increasing. informatization of enterprise. The process is a process of continual improvement in attention to data and a process of continual improvement in integration of information systems.
2. Understanding Digitization
Digitalization is use of next-generation digital technologies such as cloud computing, big data, Internet of Things, and artificial intelligence to create a digital world with full perception, full stage, and full intelligence. Implementation-based accurate mapping of digital world to physical world. Optimizing and reengineering business in physical world, innovating and changing traditional management model, business model and business model to achieve business success.
The essence of digitalization is business transformation driven by information technology, and its main goal is to increase competitiveness of enterprises. On one hand, new economic normal and increased competition require companies to optimize or change existing management, business or business models; on other hand, popularity of mobile terminals and networks allows companies to communicate directly with end consumers and understand consumers more conveniently and accurately. Demand, combined with maturity and practicality of next-generation information technology, allows you to quickly meet individual needs of customers at a lower cost based on data, as well as improve new management, business or user experience business model.
Digitalization is long-term systems engineering. For most businesses, challenges facing digitalization are in everything from technology management to business innovation, from organizational change to culture change, from digital empowerment to talent development, so digitalization success cannot be achieved in overnight. Digitalization is a long-term and time-consuming task, and only after passing a certain critical inflection point will benefits of digitalization show exponential growth, most companies need 3-5 years or even more to achieve significant results.
3. Understanding Intelligence
Intelligence has two meanings: one meaning is to use theory, method and technology of "artificial intelligence" to process information and solve problems. The second meaning is to have characteristics or functions of "anthropomorphic intelligence" such as self-adaptation, self-correction, self-coordination, self-diagnosis, and self-healing. "Intellect" is one of current and future directions of development of automation technology, which has become a development trend and an important symbol of various new technologies, new methods and new products in field of industrial control and automation.
The essence of intelligence is to allow machines to make decisions instead of people. The main problem of intelligent solutions is relationship between man and machine. Future business decisions will increasingly rely on machine learning and artificial intelligence. Machines will play a very important role in many business decisions. The effect they can achieve will surpass that brought about by manual control today, thereby reducing complexity of decision making for managers and increasing efficiency and accuracy of decision making.
Intelligence can bring many benefits to an enterprise. One of them is a more flexible operation, which increases efficiency of most routine processes through perception, cognition and other technologies, reduces costs and at same time improves user experience; the second is more personalized. , allowing enterprises to provide real one-on-one interaction, to fully meet independent needs of customers and provide better services; Third is smarter decision making, using advanced data science to improve business performance and leveraging big data. Mining industry for more valuable business ideas; Fourth is new value proposition, new operating models and ways of working differentiate products and services and create new products, services and businesses with smart technology as underlying model. .
As one of technical engines of digital economy, digitalization and intelligence are releasing tremendous energy, spurring industrial transformation and development of digital economy. Industrial Internet companies represented by Zhidian use digital tools to comprehensively empower traditional industries, helping all walks of life bridge digital divide and share digital dividends. In line with concept of high-tech development, expanding possibilities of industrial digitalization, Spider-Dian launched a digital platform covering four scenarios, including smart factories, smart finance, smart logistics and smart business flows, offering a whole new path . for digital transformation of industry.
Recently, many departments have issued intense statements, issued signals to accelerate development of digital economy, and launched a new phase of rollout aimed at creating new benefits in digital economy. The Ministry of Industry and Information Technology will strengthen technological innovation and strengthen foundation of digital economy. The Ministry of Commerce plans to further promote development of digital commerce and accelerate construction of top-level design. Faced with three major opportunities: political dividends, industrial transformation and economic transformation, digital economy will launch a new stage of construction climax. At same time, as a typical practitioner of deep integration of technological innovation and digital economy, Zhidian will implement large-scale scenarios on big wave of digital economic development and reap development dividends of the times.