EdgeX Challenge China is an international hackathon event on EdgeX, hosted by LF Edge. EdgeX Foundry provides loT and edge computing reference architectures for vertical segments: commerce, medical, education, industrial, energy, enabling more industry solutions and solving more business challenges. With the success of EdgeX Challenge in China, EdgeX Foundry has further expanded its adoption in China and around the world, which plays an important role in the construction of edge computing, AloT, and the ecosystem.
EdgeX Challenge China 2022 is guidedthe by the BMSTC, the zhongguancun Park Management Committee, co-hosted by Linux Foundation, with the support of Alibaba Cloud, Baidu AI Cloud, EMQ, GSMA, InnoSpace, Intel, Thundersoft, VMware, Zizhu-ET and other co-organizers. EdgeX Challenge China will continue in 2022. We are delighted to invite geeks with innovative ideas and technical strengths to build new solutions to further promote the developments and growth of the industries.
This event consists two tracks: medical, education, consumer industry track & energy and industrial track, and it will start at many places to allow more developers to join. This event aims to build a learning and sharing platform about adopting IoT & EdgeX Foundry to heal industry problems along with digital transformation. Edgex Challenge China is one of the important events of evangelizing EdgeX Foundry.
With the evolvement of IoT, more and more real-world use cases demand local data storage, privacy protection, low transition latency and low cost. As Edge computing technologies are growing rapidly, EdgeX Foundry has become the world’s leading open edge computing framework, capable for agile use of IoT, AI and Computer Vision, to effectively resolve difficulties and challenges faced by various industries. Protocol adaptation of different sensors/devices and cloud, workload consolidation closer to the users, will help solve the technical problems, accelerate industry’s digital transformation process.
This event has received strong support from FNAIOT、Qinhuai Silicon Lane Innovation Lab、Kaiyuanshe、CSDN、Huodongxing.