In today's wave of digitalization sweeping the globe, AI technology is accelerating breakthroughs and deeply integrating into various industries, empowering Chinese enterprises to enter the 'deep-water zone' of quality improvement and efficiency enhancement. As a leading enterprise in China's industrial AI, Getech, along with over 200 top leaders from leading domestic and international companies such as Siemens China, Honeywell, ABB Robotics, and Supcon Blue Podium, jointly attended the METTLER TOLEDO-hosted 2024 Digital Ecosystem Conference in Changzhou on November 6 to explore new paths and opportunities for digital transformation. At the conference, Yang Li, Marketing Director of Getech, was invited to deliver a keynote speech and participate in a roundtable dialogue, systematically elaborating on Getech's insights and practices regarding AI implementation scenarios and development trends in manufacturing, offering new perspectives to attendees.
In her keynote speech, Yang Li pointed out that in the field of industrial large models, thanks to their precise parameterization, high professionalism, and strong practicality, vertical industry-specific large models will unleash greater potential in industry. Deeply integrated with industrial big data and industrial software, they can provide timely and accurate suggestions for non-general problems, and further guide improvements in processes and workflows through functions such as virtual experts, root cause analysis, and reverse control optimization, thereby enhancing production efficiency and product yield. Behind this, highly available and anthropomorphic pre-trained industrial large models will cross the technological singularity, bringing disruptive changes to traditional manufacturing and injecting new vitality into smart manufacturing.
In fact, facing the golden opportunity of AI, Getech's AI empowerment practices have moved beyond the stage of point-based empowerment and entered the phase of comprehensive intelligent application. In the smart factory empowerment practice at TCL Huaxing, the AI business line self-developed and implemented by Getech covers multiple areas such as visual inspection, equipment health management, production scheduling optimization, and intelligent R&D design, continuously expanding its application scenarios and value boundaries.
Additionally, Yang Li shared AI empowerment practices across different industries. In the semiconductor industry, Getech used AI technology to help a leading chip company accelerate the film thickness sampling process, significantly reducing the analysis time for film thickness and film formation abnormalities across different batches, saving monthly labor costs by 100,000 to 150,000 RMB. In the lithium battery field, Getech's AI algorithms can accurately identify abnormal factors in battery cell production. Through virtual measurement and root cause analysis, over 50 key feature indicators are extracted, providing strong support for the accuracy of battery cell quality prediction and optimization. These success cases fully demonstrate Getech's strength and innovation capabilities in the industrial AI field.
Subsequently, during the roundtable dialogue, Getech engaged in in-depth discussions with leaders from industry, academia, and research in the digital field on AI practices. Yang Li believes that the exploration of industrial AI business must ultimately return to practical goals and needs. By analyzing scenario complexity, the effectiveness of meeting demands, scenario data, and comprehensive dimensions such as AI-related technologies and ROI, the feasibility of AI business implementation can be determined. Additionally, from a technology R&D perspective, before embarking on AI business布局, a long-term mindset is necessary, adopting an open and sharing attitude, leveraging one's technical advantages, and顺势而为. Furthermore, representatives from industry, academia, and research shared their experiences and lessons learned during AI investment, offering attendees new perspectives and practical insights.
Gathering great achievements, forming wisdom. At this conference, we witnessed deep and broad ideological collisions among leading forces from industry, academia, research, and application, as well as the领先 practices and innovative achievements of top practitioners in the fields of digitalization and industrial AI. The conference brought together the capability boundaries and advanced practices of enterprises from different fields to support the development of China's digital economy and new industrialization, maximizing empowerment advantages.As manufacturing digital transformation enters the 'deep-water zone' and AI technology continues to evolve, Getech believes that the future of manufacturing will become smarter, more efficient, and more sustainable. Getech will continue to stand at the forefront of the industry and technology, leading and promoting the development process of new industrialization and AI integration into manufacturing.
