Today, those tech giants who have previously transitioned to cloud computing have already tasted the sweetness. Whether it is Amazon or Microsoft, or Alibaba Cloud, cloud computing has become a new profit growth point of the company: Amazon's performance with its cloud computing business. Achieved a substantial increase in profits, Microsoft is relying on the successful transition to cloud computing so that the company's share price hit a new high, Ali cloud is also becoming Alibaba's new growth pole.
At the same time, these giants who have accumulated in the field of cloud computing and big data are also targeting the next direction: artificial intelligence. Microsoft's introduction of Xiao Bing and Xiao Na are just representations in the field of artificial intelligence. Building an artificial intelligence platform is what it really needs to do. Although IBM has fallen behind in the era of cloud computing, it is relying on Waston's application in the commercial field. Advanced market layout. Google, Facebook, Alibaba, Baidu, etc. are also stepping up the deployment of artificial functions.
Artificial intelligence is a big concept. This has produced 60 years of new technologies and has covered many fields such as transportation, medical care, education, and finance. However, there are also many pits in these areas.
Taking the transportation field as an example, intelligent transportation is undoubtedly a typical scene of artificial intelligence applications. The traffic management department makes traffic management more intelligent through big data analysis, but in the area of ​​traffic, driverless cars also belong to the category of artificial intelligence, but its application. It is obviously more difficult than the intelligence of traffic management. Driverless cars involve not only the upgrading of automotive hardware and software, but also new requirements for infrastructure such as roads. In real life, the conditions for driving a car are very complicated. These are not artificial intelligence capable. It can be solved in a short time.
Taking robots as an example, the reason why industrial robots can quickly become popular and play a role in factories is due to the standardization and flow of their application scenarios. Service robots have not yet fully erupted until today. The core lies in practical applications. Service-oriented robots The face of the scene is extremely complex, which is a big test for artificial intelligence.
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