Xin Lang Cai Jing·2025-12-08 03:14Core Insights - Changhong Jiahua has been awarded the "Microsoft China Annual Best Partner" award, aiming to leverage its ecological resources and solution service capabilities to assist Chinese enterprises in efficient, secure, and compliant digital globalization [1][4][5] Company Development - The team engaged in Microsoft ecosystem business has expanded to 45 members, achieving 7 advanced Microsoft certifications, demonstrating professional service capabilities in the Microsoft ecosystem [1][5] - The company plans to increase investments in human, material, and financial resources, focusing on deepening customer relationships and creating scene value [3][7] Strategic Initiatives - Six years ago, the company recognized the onset of the digital intelligence era and began constructing an intelligent business system, which has shown significant advantages in collaboration with upstream and downstream partners, achieving digital direct connections with companies like Apple and Lenovo [3][7] - Changhong Jiahua is advancing AI applications within the Changhong Group, which is also a client, exploring AI applications in products like TVs and refrigerators, as well as smart production lines for compressors [3][7] AI Implementation and Efficiency - The company has reported initial successes in the TV sector, including the development of the Yunfan large model and AI TVs, and plans to further explore applications combining Microsoft AI and cloud technology in production scenarios, product functions, and process workflows [3][7] - Many AI startups from Tsinghua University have collaborated with Microsoft and Changhong Jiahua, utilizing large models to develop service products, with the company helping developers enhance efficiency through tools like GitHub Copilot, achieving nearly an 80% increase in code development efficiency [3][7][8] Cost Reduction and Investment - Clients have seen a 50% reduction in development costs through Changhong Jiahua's services, with 10% allocated for AI tools and services, while the remaining 40% can be reinvested into new R&D areas, effectively utilizing AI [4][8]