Artificial intelligence business opportunities continue to grow as the Internet of Things continues to grow. Under the joint development of deep neural network, graphics processor and big data analysis, the development speed of artificial intelligence technology has been greatly improved. According to research firm Gartner, the business opportunities for artificial intelligence will reach $300 billion by 2020. This business opportunity is mainly from the data processing of the sensor, because it helps to structure the Internet of Things that can better meet the specific needs of users.
According to Gartner Research Director Angela Mclntyre, Gartner estimates that in 2020, artificial intelligence will reach $300 billion, including artificial intelligence products and services. Even last year, the artificial intelligence business opportunity was only 30 billion US dollars, but many large factories have already invested in the development of artificial intelligence, such as Microsoft, Baidu, Google, etc., which makes the competition of artificial intelligence more and more fierce.
Mclntyre further stated that the sharp take-off of artificial intelligence was mainly caused by the three key technologies of DNN, graphics processor and big data analysis, which led to the destructive change of deep learning. In 2012, GPU began to have multi-core integration. This has prompted DNN to be further programmed and to perform big data training on a large scale.
Before the graphics processor technology has made a big breakthrough, it takes a few years to develop the computational model. It also has to write thousands of programs, but the emergence of GPU multi-core technology makes artificial intelligence only a few days. Model development can be completed in a matter of hours. Breakthroughs in computing power have also helped to handle the sheer volume of data generated by IoT sensors. Lu Junkuan, research director of Gartner, said that in the next generation of the Internet of Things, there will be more and more sensors, and the amount of data accompanying the sensing will be larger and larger, but it will also lead to the problem of processing. At this time, the next digital revolution will be AI, through machine learning, quickly analyzing data, improving business models, and even developing new business models.
Lu Junkuan further stated that there are only a dozen core technologies for deep learning. But these dozens of technologies will develop into thousands of different applications, and thousands of applications will be developed into tens of thousands of different industries, such as banks and factory manufacturing.
In the current application of AI development, the most concerned is the Virtual Personal Assistant Speaker (VPA). Lu Junkuan said that VPA is now able to buy what is needed for users, but this means that children can also purchase the necessary things through VPA, which brings parents' problems, so if VPA can Importing artificial intelligence, identifying the voice of each user to decide whether to execute the purchase, can successfully help solve this problem, and the AI ​​application of this nature will further implement the smart home.
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