Since July, when garbage classification entered the era of "hard constraints," citizens in the pilot cities have lamented that the difficulty of garbage classification is comparable to that of a high school paper. With the implementation of the policy, the garbage classification war, one after another will land in 46 key cities across the country.
On the last day of August, Huawei Cloud announced that it had joined hands with Shenzhen, a "model socialist region", to send a letter to all Shenzhen citizens in a large section of the Southern Metropolis Newspaper, soliciting pictures of garbage from every citizen of Shenzhen, and uploading a picture of garbage to Huawei Cloud's public number every time a person uploads a picture of garbage to its website. Huawei cloud public number to upload a picture of garbage, labeled with the name and type of garbage, will contribute to the improvement of the accuracy of the garbage classification AI model.
For industrial, real estate, retail and other industries, there are a large number of scenarios that rely on manual quality inspection and manual inspection, such as product defect detection, compliance detection, anomaly identification, safety wear, site inspection and other sub-scenarios of automated analysis, which require customized models to achieve. However, such enterprises generally do not have AI developers, do not have a high threshold of model development capabilities, and can not afford the high cost of model customization, through the M-scale model training, significantly improve the efficiency of model development.
AI practice application at the right time, + intelligence set off industry changes
Today, all walks of life on the cloud, has become an inevitable path to enhance productivity and competitiveness, cloud computing is also gradually from the Internet services for the exclusive skills, transformed into a connection between intelligence and the real economy of the important channel. Huawei Cloud is just like a vast intelligent "black land", which takes full-stack, full-scene AI solutions as its basic nutrients, and provides enterprises and developers with intelligent needs with deep technical background, safe, reliable, and easy-to-use AI capabilities. Simply put, Huawei Cloud is using AI to subtly improve the lives of more and more people.
Huawei Cloud is also using AI in cutting-edge medical fields such as medical image analysis. At MICCAI2019, the top international AI medical imaging conference to be held in Shenzhen in October, Huawei Cloud's AI healthcare team will present its leading achievements in the fields of automatic generation of diagnostic reports, stroke segmentation, and cervical cancer screening.
For the industry, Huawei Cloud continues to improve its model algorithms, realizing the "work" excellence of industrial production environments, not just the "test" excellence of various competition environments, and realizing closed-loop, real-time updating of the model to ensure that the enterprise AI applications are always in the best condition. The AI application of the enterprise is always in the best state. As of Q1 2019, Huawei Cloud can provide 59 types of AI services and 159 functions, and has explored 300+ projects in 10 major industries such as cities, manufacturing, logistics, Internet, medical, and parks, helping many enterprises build AI core capabilities.
In fact, not only AI, Huawei cloud is doing, is the cloud, AI and 5G, IoT, edge computing, blockchain, big data, database and other technologies fully synergistic. AI, 5G, IoT in the cloud platform after the aggregation, will make the cloud become an important driving force in the process of industry digitization, to drive all walks of life to achieve digitalization and intelligence, to achieve the qualitative leap.