Editor's note:
"Knowledge and Action-The Digital Evolution of Industrial Genes" is a new book on the digital transformation of industrial enterprises, written by Mr. Guo Zhaohui.
As a key technical support for industrial digital transformation, AR technology plays a huge role in promoting digital transformation and upgrading. The following is the impression of Guo Junxi, chief technical expert of ALVA Systems, after reading "Knowledge and Action", and combined with the application of AR technology in industry, he expounds the importance of digital transformation. understanding and thinking.
The main content includes: how this book is positioned in the personal knowledge system, the author's understanding of the content of the book, the technical thinking of the concept practice in the book and the focus of the suggestions.
Understand the principle of "digital transformation" and know the action of "digital transformation".
To be sensible is to understand the necessity, goals, paths and methods of digital transformation, as well as understand the policies, standards, cases and trends of digital transformation. Knowledge and action is to know how to carry out strategic planning, business design, system construction, key tasks and result evaluation of digital transformation, as well as how to solve the problems and risks encountered in the process of digital transformation.
Integrate "digital transformation" knowledge and behavior into one.
Knowledge is to deeply understand the connotation, value and significance of digital transformation, and master the core principles, methodologies and tools of digital transformation; practice is to actively participate in all aspects of digital transformation, use digital technology and data to innovate business models, improve work efficiency, Optimize customer experience. Integration is to integrate knowledge and behavior, constantly reflect, learn and improve, and form a digital way of thinking and behavior.
—— ALVA Systems
Chief Technical Expert Guo Junxi
The above two points are some of my own experience after reading this book. At the beginning, I mentioned that there were some twists and turns in the reading process. Here I will briefly introduce the process and talk about the positioning of this book in my personal knowledge system.
After I got the book, it took two days to read it quickly for the first time. During the process, I also realized the author’s insights (some people think it’s just simple common sense and truth) and took it for granted, but in my personal summary afterwards The link felt a bit at a loss and unable to start.
How should I apply the content of the book in my own work? It seems that there is a lack of a handle and a bridge to integrate the content of the book with its own knowledge system, which makes it impossible to write when summarizing. At a certain point after two days of cooling off, I suddenly thought that this situation was similar to the course content of my engineering management courses. At that time, many courses involved the scope, time, progress, quality, manpower, and risk in project management. And so on concrete content, but there is a course called Engineering Philosophy which is a bit different, it does not talk about specific skills but abstract principles.
After figuring this out, it suddenly dawned on me that this book is the philosophy of digital transformation.
Science is used to describe the world, technology is used to construct the world, and philosophy is used to explain the world and answer the why questions that people always face. If you can't figure out the cause and effect, you often feel uneasy when doing things.
With this understanding, I specifically found a copy of "Nineteen Lectures on Chinese Philosophy" written by Mr. Mou Zongsan. explained.
Among them, I personally appreciate the philosophical views of Taoism the most, "Inaction is the beginning of heaven and earth, existence is the mother of all things", "the unity of existence and non-existence is called mystery, and mystery is mystery, the door of all wonders", "Tao produces one, one produces two, two produces three, Three Lives and Myriad Things", how do you understand it? Simply put, the world is essentially formed by combining and running simple rules.
This point is similar to the idea of cellular automata advocated by physicist and mathematician Stephen Wolfram (the designer of Mathematica mathematical software), which is well-known abroad but not very popular in the academic circle. Because of the principle of computational equivalence, various The complex systems of different disciplines are essentially the same, and they are all driven by simple rules, which is a bit like the language model that is currently popular. However, it has not been widely recognized and accepted. It is probably related to the fact that if you agree, you will lose your job.
Far away, let's go back to the book "Zhi Xing". In my personal knowledge system, I position it as a philosophy about digital transformation.
The main content of the book starts from the origin of digital transformation. The application of digital technology is essentially a kind of technological innovation, and technological innovation has its own logic, involving the concept of technological innovation, opportunities, user needs, cognitive vision and management mechanism. ;
The starting point of technological innovation is the evolution of industrial genes, including efficiency, quality, cost, standards, and management. The evaluation of evolution goals needs to take into account technical feasibility and economic rationality;
The application of digital technology in technological innovation will change the human-machine relationship, and further development on this basis will further affect the human-human relationship. The intermediate process includes the process evolution of mechanization, automation, informatization, digitization, networking and intelligence;
The goal of the evolution is not to completely kill people, but to realize the strengthening of people while reducing the number of people, empowering people with data technology and industrial knowledge, so that people can maintain, improve and innovate the production process more efficiently, and complete root cause analysis , data modeling, industrial application development and other tasks;
When choosing what to do in digital transformation, you need to take into account the perspective of time and space, the perspective of people at different levels, and the evolution of the process of things;
Finally, in the process of destroying the old and establishing the new, we will inevitably encounter the resistance of inherent concepts and culture. While advancing despite difficulties, we must also learn to change and retreat despite difficulties. Only by removing obsessions can we achieve a brand new industrial culture .
Let's talk about the technical support for the implementation of digital transformation based on the content of the book and my own work.
From the change of human-machine relationship to the change of human relationship, a new enterprise action mode will be produced. The process of automation, informatization, digitalization, networking, and intelligence mainly involves three aspects of technology, namely Industrial Internet (IoT), Artificial Intelligence (AI) and Augmented Reality (AR).
IoT is the foundation, realizing the digitization of the physical world composed of entity dimension and resource dimension; AI is the supporting backend, realizing the dimension upgrading reconstruction and dimension reduction deconstruction of digital intelligence dimension; AR is the delivery front end, enabling virtual reality fusion technology to empower people , The three technologies work together to support the implementation of digital transformation. Among them, there are many books on IoT discussion, including the preface books in the Towards Intelligence series to which this book belongs, which will not be expanded here. Let's focus on AI and AR.
AI's assistance to AR, AI-based recognition algorithms, and human-computer interaction can transition from graphical user interface (GUI) to language user interface (LUI). LUI (ordinary people can understand language and text) is different from the original DOS command line (professional Precise instructions for use by personnel).
In terms of information acquisition methods, people looking for data (search engines) in the information 1.0 era, and data looking for people in the information 2.0 era (information flow and user portraits) both need to prepare the data consumed by the scene in advance. It is unrealistic to have data ready for all scenes in fragmentation. At this time, it is possible to combine the popular generative large language model (LLM) with the existing system data and knowledge data for instant content generation (AIGC) to achieve similar cross talk The effect of "hanging up" in the performance. Both AI and AR can power cybernetic-based automation and augmentation.
AI is automated perception (multimodal coded interaction), decision-making (language modeled brain) and execution (embodied multimodal robotic interaction); AR is enhanced human perception (see unseen, hear unheard, touch untouched) , decision-making (chat room moderator) and execution (reducing a person's cognitive load - memory and attention).
At the same time, AR assists humans to guide the direction of AI and determine the ultimate goal. Automation means determinism, but when the automated work scene is networked to a certain scale, due to the irreducibility of computing, it will inevitably become uncertain, and you need to make a choice-defining what will happen next, and then you need to be strong. Intervention of empowered people.
Combined with the understanding of the philosophy of digital transformation introduced in the book, here is a small perspective on the promotion of digital transformation application scenarios.
One is that the beneficiaries of technological innovation should move from the niche to the public. In fact, the growth rate of labor productivity in European and American countries in the fifty years since 1970 has not been as large as that in the 100 years before 1970, especially in the last ten years, which is close to stagnation, which is also the root cause behind various social chaos; although computers, Various new technologies such as the Internet and the Internet of Things have appeared in turn, but the effect is not as great as expected. The reason may be that the ultimate benefit of these technologies is not as popular as the mechanization and electrification of the past; The impact of this trend is only delayed rather than avoided. During the "Thirteenth Five-Year Plan" (2016-2020) period, China's overall labor productivity increased by 5.8% per year. During the "14th Five-Year Plan" (2021-2025) period, the overall labor productivity The growth rate is "higher than GDP growth", 8.7% in 2021 and 4.2% in 2022, which shows that the peak period of our labor productivity growth rate has passed, and the downward trend is already very obvious.
The second is that the implementation of technology should be deeply integrated with the practical process. Technology is not the root cause of productivity, and simply mastering the latest and greatest tools won't take you to the pinnacle of productivity—despite the many headlines on social media promising it, this insight helps us understand why computers The introduction of , did not lead to such a large and rapid productivity boom as one might expect.
Optimizing the process is the basis for realizing deep productivity, and it has the greatest leverage, but it needs to rethink the entire production process based on new technologies IoT, AI, and AR, which takes a lot of time. New technologies + using unoptimized processes have limited productivity gains. It's like putting lipstick on a pig. It looks like a lot of fun, but our purpose is not to watch.
Finally, in short, the author understands the digital transformation of industrial enterprises.
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About ALVA Systems
ALVA Systems is the world's leading provider of software and hardware for heterogeneous computing technology. Together with the National Institute of Metrology of China, it designed the world's first benchmarking tool for heterogeneous computing technology and improved its CPU and GPU hardware for AMD, Intel, Qualcomm, and ARM. Design and underlying driver function library to better adapt to heterogeneous computing.
In recent years, ALVA has applied its leading technology advantages in the field of heterogeneous computing to the field of industrial Internet of Things. The advanced underlying heterogeneous computing technology allows ALVA to provide users with excellent and high-efficiency AR experience in low-latency scenarios. ALVA Systems leads the market demand with technological innovation and is committed to becoming your source of innovation.