July 10, 2012 - During the Global Partnership for Education and Healthcare 2025 China Week, theHuaweiToday, we successfully held the Education and Healthcare Industry Partner Summit. More than 300 partners from 40 countries attended the summit and talked about the new future of digital transformation in education and healthcare industries.

Meeting.Huawei Launches Global Education Healthcare Partner Alliance (GEHPA) ProgramIt aims to enhance the exchange of industry partners, complement each other's strengths and realize win-win cooperation.
Representatives from partners such as Neusoft International, Mandarin Online, Chengdu Sobei, Wisers Future, Neusoft Healthcare, Huiji Technology, MediTech, MAHARAT 71 from UAE, PTC from Singapore, ITSOFT from Spain, BSC from Rwanda, etc. attended and witnessed the launching of the Global Alliance of Education and Healthcare Partners.
1AI learned from Huawei's announcement thatThe alliance will be operated and managed by Huawei's Public Utilities Corps Partner Development Department on a daily basis, providing a brand new communication platform for education and healthcare industry partners worldwide.. Members of the alliance can develop synergistic cooperation through joint innovation, cutting-edge technology research, joint solution development, and business opportunity sharing.
With the rapid development of AI technology and applications, education and healthcare are two industries that are more affected by AI. Zhang Lin, President, Global Partner, Business and Distribution, Huawei Enterprise Sales, said thatHuawei will give partners comprehensive support in capability enhancement, joint innovation, and cooperation experienceIn addition, more partners will benefit from Huawei's cooperation and work together to serve hundreds of thousands of education and healthcare customers around the world, creating a glorified future for education and healthcare in the age of AI.
Zhou Yuefeng, vice president and president of Huawei's data storage product line, said that the medical industry has accumulated a large amount of high-quality data, which is a prerequisite for taking the lead in realizing the industrialization of AI, and put forward a four-point initiative in this regard:
- Promote the standardization and management and operation of healthcare data;
- Build a smart diagnosis and treatment data infrastructure platform that can be shared across multiple departments and hospital districts;
- Promote instrumentation and standardization of data engineering and model engineering;
- Accelerate the construction of a reasonable AI diagnostic business model and promote the landing, forming a virtuous cycle.