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On May 18, GETECH CEO He Jun was interviewed by Southern Daily's Southern Industry Think Tank 'Industry Planning Bureau', discussing the development of the Industrial Internet industry under the background of new infrastructure and pandemic, the challenges it faces, and how to break through.

He Jun believes that 'low-code and toolization' may be the 'driving force' to promote Industrial Internet long-term development. GETECH proposes to empower small and medium enterprises with low-code industrial mechanisms.

GETECH CEO He Jun

| Summary of He Jun's Views

According to statistics released by the National Bureau of Statistics, from January to March 2020, industrial enterprises above designated size nationwide achieved a total profit of 781.4 billion yuan, a year-on-year decrease of 36.7%. The manufacturing industry achieved a total profit of 607.9 billion yuan, a decrease of 38.9%.

In this environment, many companies adopt contraction strategies externally and actively improve management capabilities internally. The challenges faced by large enterprises have gone beyond data collection and analysis to data prediction, trying to use advanced algorithms for self-adaptation; however, the difficulties for small and medium manufacturing focus on data collection and visualization, and they often value the benefits and returns from investing in new platforms and technologies, worrying about whether new technologies and platforms can bring order flow and save costs. The unbalanced development现状 makes us worry about whether the gap between large and small manufacturing will widen with new technology development. We try to find 'how to do' suggestions for how Industrial Internet can empower small and medium manufacturing.

'Low-code and toolization' may be the 'driving force' to promote Industrial Internet long-term development. Currently, we need to meet the short-term needs of enterprises of all sizes to improve efficiency, while persistently researching industry characteristics and production mechanisms,沉淀 industry knowledge and experience onto the platform to achieve platform effects. As a vertical industry platform, GETECH delves into industry Know-How, delivering terminal intelligent applications to customers and opening PaaS platform's data analysis and model沉淀 to partners to quickly expand service areas.

| Enterprises/Industrial Internet Companies/Industrial Geeks, Precipitate Knowledge Models

Manufacturing enterprises in different industries and sizes indeed vary greatly in operational models, production processes, and talent levels, but if we abstract Industrial Internet, it can be summarized as a 'data + tools + algorithms + business' model. The first three parts can be replicated across industries and fields on the Industrial Internet platform. Therefore, the core value of the Industrial Internet platform itself is to provide: standard, highly common data access services, and componentized functional modules for data management, data visualization, and data analysis.

The personalized part is concentrated in the business model. There are two ways to accumulate and reuse business models: one path is for industry leading enterprises to precipitate business models and辐射 the industry上下游, forming an industry internet platform with deep Know-How. Another path is for Industrial Internet companies to precipitate their own experience and provide an open PaaS platform to 'industrial geeks', jointly building a diverse industry model library to provide targeted business models for users in different industries, greatly reducing the need for customers to develop business models independently, and continuously lowering the cost of intelligent transformation and upgrade.

Regardless of the development path, precipitating models is difficult but valuable. Take GETECH's top customer TCL华星光电 as an example. The primary goal of TCL华星光电's intelligent manufacturing is to improve product quality rather than save costs. For instance, in the first artificial intelligence defect classification project for液晶 panels, TCL华星光电 used a top intelligence team耗时 two years, precipitating hundreds of AI models, achieving the goal of defect recognition accuracy.

Large manufacturing, especially precision manufacturing, actively develops and precipitates business models for reasons summarized as: 1) These fields are characterized by high output value per unit area, high asset value, and high data density, so efficiency improvements in equipment use and production processes can lead to significant cost reductions. 2) With intensifying competition, the market has近乎苛刻的要求 for product quality, and enterprises use AI and big data analysis to improve engineer levels and product quality. 3) Enterprises optimize the organizational guarantee of 'digital transformation' during exploration, and the implementation of new technologies and business变革 promote each other. Small and medium manufacturing rely more on Industrial Internet companies and industrial geeks for developing business models due to greater difficulty.

| Low-code, Microservices, the 'Winning'法宝 for Small and Medium Manufacturing Enterprises

Whether Industrial Internet can truly cross industry and model barriers in the future, achieve interconnection of data and applications across various fields, and be widely adopted by enterprises of different sizes depends on the platform's通用能力和开放能力.

For the industry model library, a large amount of industrial technology principles, industry knowledge, basic processes, and model tools can be规则化, software化, modular化, and encapsulated into reusable components, enabling Industrial Internet to use common functional components with personalized industry knowledge to achieve cross-industry and cross-field interconnection.

GETECH is an open vertical industry platform that uses low-code technology on the PaaS platform to lower application development thresholds. It also配置 low-code or even zero-code, microservices development modules in products, so that front-line engineers can develop models according to personalized needs even without any IT technology knowledge.

In the Hongxin 5G Smart Factory project, engineers can 'modify' applications according to their own needs when using industrial applications. Based on流程引擎 and microservices technology, engineers can achieve 'modification' through simple drag-and-drop.

Besides lowering the threshold for 'business models', providing customers with通用能力和 out-of-the-box applications is also an effective way to help small and medium manufacturing enterprises.

The development of Dongzhi Industrial Application Intelligent Platform started in the semiconductor and chip industry characterized by high-precision manufacturing. In terms of data storage capacity, data extraction frequency, complexity of data processing, and data compilation and computing capabilities, the Dongzhi platform has leading technical capabilities. The Dongzhi platform currently focuses on providing platforms and services for high-precision manufacturing because high-precision manufacturing is at the forefront of data application, and expanding to other industries is相当于 a demonstration.

GETECH also directly delivers applications to enterprises. Based on the actual落地环节 of Industrial Internet, three major application scenarios can be summarized: equipment asset management, business operation optimization, and industry collaboration innovation. In some application scenarios, GETECH can quickly deploy and implement subscription-based service applications for small and medium customers, with short delivery cycles and simple deployment, suitable for small and medium manufacturing enterprises. For example, Equipment Health Management EHM, Digital Factory MOM, multi-factor modeling tools, etc., help enterprises quickly achieve needs such as equipment lifecycle management and transparent and visible production processes.

| Small and Medium Enterprises' Digital Road Should Learn from Demonstration Cases

GETECH has found that最近 demand through phone, offline, and customer introductions is growing rapidly,明显感受到 small and medium enterprises are积蓄爆发的力量.先行成功案例 are valuable wealth for the entire industry. Small enterprises can start by learning from others and then innovate based on their own situation. In assisting small and medium enterprises with digital transformation, GETECH helps improve overall production efficiency through overall planning and step-by-step implementation plans.

As a vertical platform and solutions enterprise, GETECH may expand slowly in the short term, but with larger customer scale, delving into industry Know-How can build industry and technical barriers. In the future, starting from customers' industry characteristics, production mechanisms, and factory organizational structure, providing overall solutions including PaaS layer data analysis, model沉淀, and upper-layer intelligent applications, there is great growth potential.

With continuous advancement of 5G, big data, and AI technologies, manufacturing enterprises under the current economic situation have clearer demands for cost reduction and efficiency improvement. The intelligent production and management变革 brought by Industrial Internet is a long-term trend. Whether Industrial Internet can truly cross industry and model barriers in the future, achieve interconnection of data and applications across various fields, thereby greatly reducing the intelligent transformation cost and speeding up transformation for manufacturing customers, in summary, strong data access capabilities and standards, out-of-the-box functional modules and components, and multi-industry model libraries are key platform capabilities. From GETECH's practice, a group of excellent Industrial Internet platforms have a mindset of宁 'deep'勿快, sinking into industries to learn, research, and innovate.

In the future, there is much to look forward to.