​Digital transformation and upgrading of the industrial metaverse and AIGC

The atomic world can be regarded as a dimension of the metaverse, which expands people's cognition from a single dimension to multiple dimensions. AIGC is a highly intelligent search engine with the ability to quickly query and integrate large amounts of information. Emerging technologies, such as the Metaverse and AIGC, will enable human society to go deeper and more comprehensive in digital transformation and upgrading. This article discusses the content related to the industrial metaverse and AIGC. Let’s take a look.

Nowadays, digitalization is no longer a tool for enterprises to add icing on the cake, but has become an important support for the core strategy of enterprises. Digital transformation is no longer an option, but a necessity. It is crucial for enterprises in various industries to win the new competition strategy of the future. important.

The Metaverse expands human cognition from a single dimension to multiple dimensions. It can be understood that the atomic (ATOM) world is a dimension of the Metaverse. AIGC is essentially a highly intelligent search engine that can quickly query and integrate massive amounts of information. It has "catalyzed" technological changes in various data query applications. This change will greatly promote the utilization of data resources and innovation participation in the digital transformation of enterprises.

Therefore,

Emerging technologies such as Metaverse and AIGC bring a deeper and more complete digital transformation and upgrading to human society. That is, the impact on human production and life based on digital logic on a larger scale comprehensive reconstruction. Based on digital logic, we can realize the establishment of connections and matching relationships across a wide range and multiple elements across different fields and levels, thereby bringing about a deeper reconstruction of human production and lifestyle.

Data analysis and learning is about transforming other people's knowledge into your own, eating it all and drawing inferences. Well, today, Dumbo and Yueshuo invited teacher Li Tiejun to discuss the content related to the industrial metaverse and AIGC:

What is the Industrial Metaverse
Creating an industrial metaverse with a digital twin base
AIGC empowers the development of the industrial metaverse
1. What is the industrial metaverse 1. Digital transformation background—technological situation

The new generation of information and communication technology has achieved group breakthroughs. Currently, digital technologies such as 5G, AI, and cloud have been widely used in business. Emerging ICT technologies are driving the rapid development of the global economy. Digital technologies have penetrated into many industries and helped industries and enterprises reduce costs and increase efficiency. The digital economy is becoming a new engine for China's economic growth, and its value is constantly increasing as the digital transformation of industries continues to emerge. Digital technological innovation has accelerated the transformation of economic and social forms and operating models. A larger-scale and deeper technological revolution and industrial revolution are reshaping the global innovation landscape and reshaping the way of industrial development.

All walks of life hope to use digital solutions to apply "big, cloud, things, mobile, intelligence, and chain" to the digital transformation of enterprises. Through planning and implementation of business model transformation and management and operation transformation, we can provide customers, enterprises and Employees bring new digital value enhancements and continuously enhance the company's new core competitiveness in the digital economic environment.

2. Digital Transformation Definition

Enterprise digital transformation is an all-round innovative transformation of enterprise business, organization, process, products and business models driven by the dual wheels of digital technology and business. Its essence is to build a platform based on the realization of comprehensive informatization of enterprises. It adopts a new generation of IT infrastructure and trusted security architecture, explicitly cuts into the business flow through data technology and data algorithms, and realizes an intelligent closed loop driven by data, making the entire production and operation process of the enterprise measurable, traceable, predictable and predictable. Inheritance, promote the formation of new businesses, new formats, and new models, optimize resource allocation efficiency, improve efficiency and effectiveness internally, and improve customer satisfaction externally, build new competitive advantages for enterprises, and achieve value creation.

3. The connotation of digital transformation - characteristics

Digital transformation is the use of new generation ICT technology to use data as a new production factor and superimpose it on the original production factors of the enterprise, thus causing business innovation and reconstruction. Digital transformation is not just about simply applying technology to the production process, but also focusing on the continuous accumulation and formation of digital assets during the transformation process, building competitiveness in the digital world around digital assets, and continuously creating value for enterprises.

4. Current status of digital transformation – trends

Digital transformation refers to the process of realizing enterprise digitalization and ecological intelligence. This is a key step from management informatization to intelligence. There are no clear boundaries or signs to distinguish informatization, digitalization and intelligence. They are all crucial components in the development of digitalization. These three aspects promote each other and develop in parallel, forming a progressive spiral process. Simply put, digitalization is the foundation of informatization, while intelligence is the advanced stage of the digitalization process. The basic business logic of enterprises is being subverted by rapidly developing digitalization, which is mainly reflected in business models, product services, organization and operations.

5. What does the Metaverse mean for enterprise digital upgrade

6. What is the Industrial Metaverse?

Industrial Metaverse = Computable Digital Twin Metaverse.

7. From digital twin to industrial metaverse

Standard enterprise asset cloud capabilities
Standard lightweight low-code design tool
Standard Enterprise Metaverse Data Governance Method
Sustainable and scalable runtime environment
Standard applications that allow ordinary workers on the front line to quickly benefit

2. Create an industrial metaverse with a digital twin base 1. The initial definition of digital twin—from reality to virtuality

Digital twins make full use of data such as physical models, sensor updates, and operation history to integrate multi-disciplinary, multi-physical quantities, multi-scale, and multi-probability simulation processes to complete mapping in virtual space to reflect the corresponding physical equipment. the whole life cycle process. ——NASA

2. Application scenarios of digital twins

Application objects: Usually applied to physical entities with complex conditions or complex compositions, such as spacecrafts, airplanes, cars, and robots that operate in complex environments or are composed of a large number of parts;

Remote: Usually used in the testing, repair and adjustment of physical objects that are in remote environments and cannot be directly intervened by humans, such as spacecraft sailing in distant space like Apollo 13, or in manufacturing "Black Light Factory";

Connection: The digital twin needs to continuously obtain feedback data from the physical entity and use this data to update its system status, ultimately providing information for engineering decisions. This is a key requirement for the digital twin. In order to maintain the mirror synchronization between the digital virtual world and the real physical world, continuous or periodic "data pairing" of the digital twin with the physical entity is also the key point that distinguishes the digital twin from the ordinary simulation model.

3. Extension of the definition of digital twin - from real to virtual, and then from virtual to controlling real

Comprehensive use of sensing, computing, modeling and other technologies to construct a virtual digital space to observe, monitor, diagnose, predict, and make decisions on the physical space, thereby improving the observability, measurability, and controllability of the physical space.

4. The construction route of the industrial metaverse——TEMS

• Training – Based on equipment digital twin/3D instruction guidance, quickly improve the ability of frontline workers to operate equipment and maintain facilities, and improve productivity (corresponding to DataMesh Director, DataMesh Simulator Platform)
• Experience - An experience tour based on digital twins of facilities and equipment, allowing visitors and learners to quickly improve their knowledge of unfamiliar things at a low cost and without disturbing the production order (corresponding to DataMesh Director)
• SupervisionMonitor and Control – Based on the operation and maintenance supervision of facilities and equipment digital twins, it performs engineering supervision, facility and equipment maintenance, status inspection and control of facilities and equipment under construction and operation (corresponding to DataMesh Inspector, DataMesh Checklist)
• Simulation – Simulation operation based on digital twins of facilities and equipment, emphasizing the mechanisms and principles between equipment, role AI, simulating and restoring the operation and operation logic of real facilities and equipment, and used for large-scale planning and practical training , prediction, management and other scenarios (corresponding to DataMesh FactVerse, DataMesh Simulator Platform)

5. Achieving decision-making autonomy is the functional direction of the next stage of the digital twin technology system

Broadly speaking, the current digital twin system has gradually realized the capabilities of three stages: simulation, analysis of precipitated data, and prediction simulation. The realization of decision-making autonomy is the next stage of development of the digital twin technology system.

3. AIGC empowers the development of the industrial metaverse 1. Macro evolution trend of AI technology: general artificial intelligence

Decision-making AI is an artificial intelligence system that makes decisions or recommendations based on rules, knowledge or experience by analyzing and reasoning on input data;

Generative AI (Generative AI) is an artificial intelligence system that learns from large amounts of data and generates new data or content based on technologies such as machine learning or deep learning. This kind of AI is usually used in natural language processing, image processing, audio processing and other fields. Its purpose is to generate high-quality content and realize automated creation;

General AI (General AI) refers to an artificial intelligence system with a wide range of capabilities similar to human intelligence. It can perform various tasks such as perception, reasoning, learning, decision-making, and planning like humans, and can perform tasks in different fields and situations. respond and adapt flexibly. This kind of AI is one of the ultimate goals of artificial intelligence, which has not yet been achieved;

There are overlaps and complementarities between the three artificial intelligence systems. For example, in the decision-making process, decision-making AI can provide decision support based on rules and knowledge, generative AI can provide decision-making reference based on data, and general-purpose AI can comprehensively consider multiple factors to make more intelligent decisions.

2. AIGC: Using artificial intelligence technology to automatically produce content

AIGC: The full name is AI-Generated Content, which is artificial intelligence content generation.

3. AIGC technical architecture

Only when it is "all-inclusive" can it support enough "strange shapes" on the front end.

4. Generative AI: “The most commercially promising artificial intelligence technology”

Gartner ranks generative AI as the most commercially promising artificial intelligence technology. According to the 2022 artificial intelligence technology maturity curve released by it, generative AI is expected to enter the production maturity stage within 2-5 years, with huge development potential and application space:

In 2025, the data generated by generative AI will account for 10% of all data, while in 2021, the data generated by generative AI will account for less than 1% of all data;

In 2025, 30% of outbound messages from large organizations will be generated by generative AI;

In 2025, 50% of drug discovery and development will use generative AI;

In 2027, 30% of manufacturers will use generative AI to improve product development efficiency.

5. ChatGPT accelerates content construction in the metaverse world

Summarize

Therefore, recognizing the connection between digitalization, the industrial Metaverse and AIGC, and drawing new development momentum for the development of the Metaverse/AIGC from a digital perspective can ensure that the development of the Metaverse/AIGC can enter the key to a new stage of development.

In fact, digitalization has become the "business template" of Yuanverse/AIGC. Only the digital transformation and upgrading of enterprises can change from an existence on the surface to an existence that goes deep into the bottom layer. In short, the digital transformation and upgrading of enterprises cannot be fully described in one or two sentences. This sharing only provides an analytical framework and perspective of thinking. Our ultimate goal is to solve problems, which is to find problems. To solve problems, we are to find problems in business and then solve them. Learning is valuable, and we need to continuously accumulate experience, master tools, and apply what we have learned in our future study work. Ability to identify, analyze, solve, and summarize problems from multiple perspectives.

Columnist

Muxi, WeChat public account: Mumu is free, everyone is a product manager columnist. Many years of experience in Internet data operations, covering a wide range of operations fields, focusing on practical cases and experiences in operations, data analysis, and summary of methodologies, exploring the magical mysteries of operations and data!

The title picture comes from Unsplash, based on the CC0 protocol

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