Guangzhou, April 28 - Under Guangzhou's "12218" modern industrial framework, artificial intelligence (AI) has emerged as a powerhouse within the city's 15 strategic industry clusters, fueling rapid technological advancement. At the "Breaking Boundaries, Driving Integration" AI Summit and Innovation Showcase, hosted by Guangzhou Daily and the Guangdong AI Industry Association, GRGTEST showcased its leadership in AI-enabled data governance solutions. Yu Lili, Deputy General Manager of GRGTEST, presented the company's AI-driven strategies for data management, while its "AI+UAV Intelligent Inspection Solution for Telecom Networks" was honored among the Top 10 Pioneering AI+ Applications.
Guangzhou is accelerating the development of its National New Generation AI Innovation and Development Pilot Zone and National AI Innovation Application Leading Zone, aiming to expand AI-powered service scenarios and elevate industrial competitiveness. As a state-owned third-party testing leader headquartered in Guangzhou, GRGTEST aligns with national priorities, spearheading an "AI+" initiative to build an end-to-end service ecosystem spanning "chips, algorithms, systems, and equipment". This framework drives AI innovation across industries, empowering sectors from manufacturing to smart infrastructure.
Next-Gen AI: Building a Smart Testing Frontier
Moving forward, GRGTEST will deepen its focus on AI-enabled digital transformation for the metrology and testing sector. Key initiatives include:
Moving forward, GRGTEST will empower the digital and intelligent transformation of the metrology and testing industry with AI, establishing an embodied intelligent equipment and unmanned systems innovation verification and testing evaluation public service platform. The company will continue to enhance the quality assessment capabilities for AI algorithms and models, while vigorously developing the AI+PHM intelligent operation and maintenance platform. This will accelerate the shift from "quality inspection" to "intelligent inspection," propelling the leap from "Made in China" to "Intelligent Manufacturing in China."