AsiaIndustrial NetNews: Alibaba Cloud is promoting its artificial intelligence product “Alibaba Cloud ET” to seek deeperindustrypaths in two areas.
On March 29, Alibaba Cloud announced the launch of “ET Medical Brain” and “ET Industrial Brain”. The former is positioned as a doctor’s assistant, and the latter is mainly dedicated to improving the yield of industrial production lines. At present, Alibaba Cloud has a number of customers in the above two fields, and the two parties will jointly explore solutions based on artificial intelligence. However, Alibaba Cloud’s attempt to implement artificial intelligence in the industry has just begun.
Hu Xiaoming, president of Alibaba Cloud, told the 21st Century Business Herald that “more and more large enterprises, medical institutions, and financial institutions are thawing their pursuit of the Internet and artificial intelligence.”
Explore landing in multiple industries
Li Jin, senior product director of Alibaba Cloud, said that the amount of image and video data generated by PAI and CT in hospitals every day is equivalent to the amount of data produced in a movie, but a large amount of data has hardly been collected and Save and go online.
On March 29, Alibaba Cloud ET (Alibaba Cloud artificial intelligence brand) announced the launch of “Medical Brain” and “Industrial Brain”. The former is positioned as a doctor’s assistant. Currently, the fields that can provide support include patient virtual assistant, medical imaging, precision medicine, Drug efficacy mining, new drug research and development, etc., the latter is committed to improving the yield of industrial production lines.
On the same day, Alibaba Cloud announced two batches of medical customer lists, including traditional medical institutions such as Guangzhou Medical University, and companies such as BGI, which Alibaba Cloud has cooperated with before. It is reported that Alibaba Cloud’s “medical brain” will take the lead in the application of “watching movies”: through algorithm iteration, the speed of viewing photos of patients’ bodies will be increased to the second level.
Behind the power to push AI into medical care is the demand for computing in the medical field. “Chinese hospitals always have more than 1,000 beds for diagnosis and treatment. Two or three hundred patients are taken CT scans every day, and more and more data are obtained.” He Jianxing, president of the First Hospital of Guangzhou Medical College, said that the assistance of artificial intelligence is expected to help in the future. Doctors reduce the rate of misdiagnosis.
He Jianxing believes that artificial intelligence is currently the first in the medical field to improve application efficiency, and in the long run, it is committed to improving the “narrow” scope of application and changing structured data. In addition, “combining data and experience helps doctors generate new experiences.” In short, it is to “empower” doctors with artificial intelligence capabilities.
“One of the great values of the algorithm is that it can find all the suspected problems, and then let the manual review, so as to make sure that there are no omissions.” Min Wanli, an artificial intelligence scientist at Alibaba Cloud, told reporters. Hu Xiaoming also said, “Alibaba Cloud hopes that machine intelligence will become a helper for human beings.” This can probably be used to summarize the positioning of Alibaba Cloud when it implements AI capabilities.
The reporter was informed that, in addition to medical care, companies currently cooperating with Alibaba Cloud ET include Xugong Group, Zhongce Rubber, and Geely. As early as August 2016, ET began to settle in the slicing production workshop of GCL Photovoltaic, a large-scale domestic energy giant. The workflow of ET is to take the lead in transferring the data of all ports of the standardized workshop into the industrial brain, and deeply learn the associated parameters through artificial intelligence algorithms. Calculate and accurately analyze the 60 key parameters most related to yield, and build parameter curves to monitor and control variables in real time during the production process.
Alibaba Cloud’s entry into major vertical industries all follow a simple logic: online integration of computing power based on data, thereby creating new value. Alibaba Cloud said that it will carry out artificial intelligence exploration in various fields such as new energy, chemical industry, environmental protection, automobile, light industry, and heavy industry.
The implementation of industrial applications is inseparable from the underlying technical support. On March 29, Alibaba Cloud announced that its machine learning platform “PAI” ushered in the 2.0 upgrade. “In terms of deep learning, we support TensorFlow, CAFFE, and MXNET frameworks, which are highly compatible with open source interfaces. Developers can choose the most suitable artificial intelligence development framework according to their preferences.” said Zhou Jingren, chief scientist of Alibaba Cloud.
On the same day, Alibaba Cloud also announced a price reduction of its “North China Three” data center, with a maximum reduction of 35%. Li Jin told reporters that North China No. 3 is currently one of the most efficient and green data centers in China.
“All the changes in the industry are due to the current pressure on the cloud computing industry.” Li Jin told reporters that in the past few years, Amazon, Microsoft and Google have invested billions or even tens of billions of dollars in cloud services. At the same time, the traditional X86 server market experienced a decline in 2016, and the industry chain is being restructured.
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