COVID-19 has spawned the widespread use of digital twins, the yuan universe, the universal universe, augmented reality, virtual reality and mixed reality. With the increasing demand of people and the continuous progress of technology, more new technologies will emerge. In a recent report, Forbes magazine website showed us the technology development trend in 2022. Data economy The world has entered the era of data economy. Data provides basic "nutrients" for artificial intelligence, which helps people obtain meaningful information from data and provide reference for their behavior and decision-making. This is very obvious at the Amazon cloud technology conference in 2021. At this technology event, participants discussed all the values and services that data can provide, and all kinds of enterprises are also trying to make the best use of their data. The growing position of chief data officer and chief analysis officer in the enterprise also proves this. The chief data officer is responsible for overseeing a range of data related functions to ensure that the organization gets the most valuable assets. His responsibilities include projects such as improving data quality, data governance and master data management, as well as developing information strategy, data science and business analysis. No code / low code platform Most enterprises realize the importance of data and artificial intelligence. However, they may face many problems to "transform" into a data-driven enterprise. For example, it will take nearly 8 months to integrate the artificial intelligence model into business applications. The codeless / low code platform came into being to help more people, including "civilian developers" and other non professionals, meet the challenges brought by data and artificial intelligence. Civilian developers are not professional programmers, but employees of the company. They can develop new business applications within the company for use by other employees. In the future, almost anyone with a little technical knowledge can carry out software development. Code free / low code tools can actively transform ordinary business users into platform developers. Edge AI 5g, artificial intelligence and network security need to cooperate with each other to achieve wider penetration. Data from IOT endpoints of factories and autonomous vehicles will trigger a data tsunami. Edge AI and joint learning are struggling to meet these challenges by training models on local and centralized data sets without sharing data sets and violating privacy. With the rise of extended detection and response, security information and event management, security coordination, automation and response, coupled with intelligent operation and maintenance management platform, security will play a vital role in processing applications and data distribution. Super automation Super automation is not only a way of thinking, but also a collection of technologies: that is, any business that can be automated in the organization should be automated; Super automation is a collection of innovative technologies, including robot process automation, artificial intelligence, machine learning and other technologies, to help organizations improve operation efficiency and save time. Super automation enables accelerated growth and business resilience by quickly identifying, auditing, and automating as many processes as possible. Gartner's research shows that the best performing super automated team focuses on three key priorities: improving work quality, accelerating business processes and enhancing decision agility. Data weaving Data weaving is also one of the top technology trends worthy of attention in 2022 released by Gartner company. Data weaving is the next generation of data management, which integrates data from multiple data sources such as data warehouse, data lake, Lake warehouse integration, data mart and so on. Data Lake refers to the repository of raw data in various formats. Lake warehouse integration is a new architecture example in the field of data management, which combines the best characteristics of data warehouse and data lake. Data analysts and data scientists can operate data in the same data store. At the same time, it can also bring more convenience to the company's data governance. Data mart refers to meeting the needs of specific departments or users, storing in a multidimensional way, and generating a data cube for decision analysis. Data weaving can not only save data more permanently, but also use artificial intelligence to realize local, self-help analysis, classification and management of data. As a flexible and elastic data integration method across platforms and business users, data weaving can simplify the data integration infrastructure of enterprises and create an extensible architecture to reduce the problems of most data and analysis teams due to the increasing difficulty of integration. Interpretable artificial intelligence Deep thinking recently released a new super large language model called gopher. "Gopher" can run 280 billion parameters, surpassing the gpt-3 previously released by openai that can run 175 billion parameters, but inferior to the "Megatron Turing" released by NVIDIA Microsoft that can run 530 billion parameters. The results show that Megatron Turing has achieved unprecedented accuracy in a series of natural language tasks, including text prediction, reading comprehension, common sense reasoning, natural language reasoning and word meaning disambiguation. However, AI has challenges in overcoming bias, protecting privacy and gaining trust, which has led to the rise of interpretable artificial intelligence (Xai). Xai is a new branch of artificial intelligence, which is used to explain the logic behind every decision made by artificial intelligence. Xai can improve the performance of AI model, because Xai interpretation helps to find problems in data and characteristic behavior, and it can also provide better decision deployment, because its interpretation provides additional information for intermediaries to act wisely and decisively. (Xinhua News Agency)