We are entering an "intelligent transformation" era from data to knowledge. With the further integration of artificial intelligence and big data, the path from perception intelligence to cognitive intelligence is being built faster and faster, and artificial intelligence is bringing innovation and transformation to various industries.
According to Gartner's latest release of the 2024 top ten strategic technology trends, by 2026, more than 80% of enterprises will use generative AI. The cognitive shock triggered by AIGC has unusual reality, urgency, and profundity. In the industrial application track, Shanghai Glorysoft Software Co., Ltd., combining years of experience in deeply cultivating the pan - semiconductor industry and the practice of applying frontier technologies such as big data, visual recognition, and deep learning in the intelligent manufacturing field in recent years, has launched an AIGC product - Glorysoft Industrial General Intelligent GloryIGI.
The Industrial General Intelligent IGI represents a brand - new industrial revolution concept. It absorbs the theoretical essence of multimodal large models and applies advanced intelligent technologies to industrial manufacturing. Through in - depth analysis of the manufacturing process in the pan - semiconductor industry, GloryIGI imitates and surpasses human perception, analysis, and decision - making abilities to complete diverse industrial tasks, helping enterprises improve production efficiency and product quality, reducing dependence on traditional resources, thus reducing production costs, and being able to accurately identify pain points in production manufacturing and provide customized solutions for enterprises, providing professional and real - time answers to problems in specific scenarios, facilitating enterprises to transition to the era of intelligent manufacturing.
Pan - semiconductor Industry Multi - scene Application
GloryIGI Typical Practice
01: Intelligent Quotation
In the PCB quotation scenario, customers have long relied on manual parsing, and Gerber files lack a unified standard format and often have special design requirements, making quotation complex and time - consuming. GloryIGI can deeply understand the details in inquiry files, engineering design files, and plate making requirements, collect and parse quotation parameters, accurately extract key cost factors including processes, material selections, commercial terms, and expected production cycles, and generate quotation parameter analysis results with a confidence level of 99% currently achieved.
GloryIGI supports privatization deployment model verification, training, and multi - language support models, adapting to various enterprise requirements and special designs, demonstrating excellent adaptability and efficacy. The achievement of a high confidence level is the result of the Glorysoft team's in - depth understanding of the PCB industry process and cost structure. In the intelligent quotation application, GloryIGI provides an enterprise with a comprehensive enhanced quotation and cost management ability as a high - efficiency comprehensive solution.
02: Intelligent Equipment Maintenance
Intelligent equipment maintenance no longer depends on the experience of engineers. The system of GloryIGI can automatically analyze process data, process information, and historical maintenance records, providing maintenance work orders, detailed operation instructions, and abnormal handling schemes. This not only accelerates the speed of fault but also forms valuable knowledge output through the recycling of maintenance experience and the reuse of knowledge.
In the aspect of point inspection, GloryIGI predicts potential problems of equipment through real - time monitoring and intelligent analysis, and conducts preventive maintenance in advance. The automatic repair function ensures that when equipment fails, a repair order can be quickly generated and relevant personnel can be notified. Through digital instruction, we provide intuitive digital operation instructions for on - site operators, reducing the risk of human error and improving the efficiency and quality of maintenance work.
When providing remote assistance, the platform of GloryIGI can transmit the knowledge of experts to on - site technicians in real - time, not only ensuring the continuity of maintenance work but also reducing the time and cost of experts' business trips.
03: Private Domain Knowledge Management
The private domain knowledge management of GloryIGI is a knowledge aggregation tool, including knowledge base management, knowledge question and answer, knowledge retrieval, and knowledge security and other functional modules. Users can integrate scattered information in one place and establish a centralized knowledge base. In addition, the learning recommendation system of GloryIGI can intelligently push relevant knowledge according to user needs, enabling smooth collaborative work and enabling enterprises to maintain the latest industry perspective.
The intelligent solutions of GloryIGI can be reused and migrated to different application scenarios, helping enterprises save time and cost and accelerating the promotion and application of new technologies, thus enabling them to maintain a leading position in the fierce market competition.
Questions & Answers
To introduce the application practice of GloryIGI more thoroughly to everyone, we recently interviewed the person in charge of GloryIGI, Ji Xian. As an advanced manufacturing senior consultant, Ji Xian once worked for global top companies in software and strategic consulting. Now, he uses his frontier technical insights and industry consulting experience to explore the application of AIGC products in advanced manufacturing with Glorysoft's pan - semiconductor technical experts.
Q1: You worked as a consultant for a global IT company Znt - Richter providing software solutions for the manufacturing industry and then as a consultant for McKinsey, a strategic consulting company. What made you return to China and join Glorysoft? What was the trigger for you to choose GloryIGI Industrial General Intelligent to drive the development of the business format?
A1: During my work at Znt - Richter, I deeply understood the complexity of the manufacturing industry and the great potential of technical solutions to improve efficiency. Changing from a technical expert to a consultant in McKinsey's strategic consulting field was to broaden my vision and understand how to influence enterprises and industries on a more macro level.
I chose to join Glorysoft because I saw the development potential of Glorysoft as a leading domestic intelligent manufacturing enterprise for localization and my vision for promoting value implementation and deeply cultivating the industry. The forward - looking nature of GloryIGI in industrial intelligence - it can drive innovation in the production process and also enhance the competitiveness of the entire industry. For me, this is not only the next step in my career but also an ideal platform to fulfill my long - term wish of using advanced technology to drive industry development.
Q2: Currently, general AI is very popular. What are the prospects in the industrial field? How does Glorysoft explore?
A2: After OpenAI released GPT 3.5 in November last year, the concept of large models became popular. Among the large language models in the industries currently in contact, many are for consumer (to C) applications. Therefore, using large models to serve intelligent manufacturing scenarios is still limited. In the industrial field, especially in, the locking of value implementation scenarios is what enterprises value most. The general industrial model is relatively broad. Focusing on specific industries and specific scenarios and using the accumulation of industry knowledge and resources as support can truly generate value.
From 2019, Glorysoft has been exploring and accumulating in artificial intelligence and intelligent manufacturing practices. After the release of GPT, the Glorysoft team also took this opportunity to use the latest AI means to help enterprises improve production efficiency on the basis of the existing automation system, and has achieved some results, launching the AGI product - GloryIGI. The team combined the research and development accumulation of AI underlying technologies and best practices in recent years, such as big data, machine learning, deep learning, and natural language processing, as well as the 20 - year accumulation of Glorysoft's pan - semiconductor field intelligent manufacturing professional knowledge, to create and improve the performance of the model. Based on this part of knowledge and historical experience, together with customers and partners for joint research, to train the model, adjust parameters, cross - validate, to build a professional model for vertical fields and.
Q3: The above mentioned joint research and cooperation. How is the product of GloryIGI realized in a single-depth scene?
A3: Firstly, in the process of continuously deepening a single application scene, we need to continuously absorb the requirements of customers. For example, in private domain knowledge management, we will go deep into various business points, manufacturing processes, personnel functions, and software systems, etc., which will encourage customers to use AI to solve more similar application scenarios, extract and iterate a common model applicable to a certain scene. Next, we will use the "AI + traditional industrial software product" method to integrate the core industry knowledge refined from Glorysoft's existing intelligent manufacturing experience, the industry data provided by enterprises, and the large model, creating "double barriers" of technology and industry understanding. During the project development process, a large amount of pre - accumulated data can be collected in advance and preprocessed, and then trained and fine - tuned for a specific application scene, finally helping enterprises achieve value.
Q4: In the application of large models, what are the most concerned issues of advanced manufacturing enterprises?
A4: In the pan - semiconductor industry, enterprises attach great importance to confidentiality and the black box problem. In the production process of various data, when applying AI, the data security of enterprises must be ensured. Considering this, GloryIGI uses privatization deployment to ensure data security. In addition, all products of Glorysoft are domestically self - developed, ensuring confidentiality as well as technical accuracy and reliability. The model and code are transparent, convenient for training and delivery, avoiding the black box problem.
The acceleration of technology promotion has enabled enterprises to quickly transform their enthusiasm for embracing generative AI into capabilities. Last week, OpenAI held its first global developer conference and released GPTs; this morning, Microsoft officially announced that the Copilot application on Office is free. It is believed that soon IGI will become a new variable in the advanced manufacturing digital ecosystem. GloryIGI will continue to be in sync with frontier technologies and is committed to empowering pan - semiconductor enterprises.
