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The relationship between AI blockchain cloud computing and big d

Publish: 2021-04-14 01:05:40
1. The rise of every emerging technology is accompanied by so-called bubbles. When technology is mature and value is expressed, this argument will disappear in history, and regret a previous mistake (focus on the learning block chain).
2. The development of cloud computing, big data and artificial intelligence cannot be separated. They are closely related, interconnected and interdependent. No one can develop better without them. Let's take a concrete look at them
first, big data
big data refers to the data set that can not be captured, managed and processed by conventional software tools within a certain period of time. It is a massive, high growth rate and diversified information asset that needs new processing mode to have stronger decision-making power, insight and process optimization ability
in the era of big data, written by Victor Myer Schoenberg and Kenneth kuckye, big data refers to the use of all data for analysis and processing instead of the shortcut of random analysis (sampling survey). The 5V characteristics of big data (proposed by IBM): Volume (large amount), velocity (high speed), variety (diversity), value (low value density), veracity (authenticity)
data is proced every day in all walks of life, and the amount of data is also quite large, but how to integrate data, clean data, and then realize data value is the research focus of big data instry. The last thing big data needs to achieve is data super fusion. When it is applied to application scenarios, the value of big data will be reflected
artificial intelligence is the embodiment of big data application< Second, cloud computing is a mode of increasing, using and delivering Internet-based related services, which usually involves providing dynamic, scalable and often virtualized resources through the Internet. Cloud is a metaphor of network and Internet. In the past, cloud was often used to represent telecom network, and later it was also used to represent the abstraction of Internet and underlying infrastructure. Therefore, cloud computing can even let you experience the computing power of 10 trillion times per second. With such powerful computing power, you can simulate nuclear explosions, predict climate change and market trends. Users access the data center through computers, laptops, mobile phones and other ways, and calculate according to their own needs
there are many definitions of cloud computing. There are at least 100 explanations for what cloud computing is. What is widely accepted at this stage is the definition of National Institute of standards and Technology (NIST): cloud computing is a pay per use mode, which provides available, convenient and on-demand network access, and enters the configurable computing resource sharing pool (resources include network, server, storage, application software and services). These resources can be quickly provided, It requires little management or interaction with service providers
to put it bluntly, what is cloud computing? What is cloud storage? Big data! So it is unscientific to talk about cloud computing without big data and big data without cloud computing< Artificial intelligence, abbreviated as AI. It is a new technical science to research and develop the theory, method, technology and application system for simulating, extending and expanding human intelligence. Artificial intelligence is the simulation of the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like human and may surpass human intelligence
artificial intelligence is a very challenging science. People engaged in this work must understand computer knowledge, psychology and philosophy. Artificial intelligence is a very wide range of science, it is composed of different fields, such as machine learning, computer vision and so on. Generally speaking, one of the main goals of artificial intelligence research is to enable machines to be competent for some complex tasks that usually need human intelligence to complete. But different times and different people have different understanding of this kind of complex work
artificial intelligence is actually the application scenario of big data and cloud computing
now the hot VR, immersive experience, is relying on big data and cloud computing, so that users can have a more authentic experience, and VR technology can be used in all walks of life
artificial intelligence is different from traditional robots. Traditional robots only do some work that has been input on behalf of human beings, while artificial intelligence includes machine learning, from passive to active, from patterned implementation of instructions to independent judgment, and implement different instructions according to the situation, which is the difference
the concept of big data has been hot in recent years, but it is only in the past two years that it has been slowly implemented, depending on the development of cloud computing and people's expectations of artificial intelligence.
3. Simple explanation:
artificial intelligence is to change the situation of people learning machines in the past. With artificial intelligence, machines will understand you better and machines will take the initiative to understand you and meet your needs. At the same time, machines can learn from each other
in the past, people could read machines because they had brains. Now, machines need a brain to read people. This brain allows you to judge right and wrong and make decisions based on judgment. This process is cloud computing
to make cloud computing effective, fast and reasonable, it needs to store a lot of data information, which is similar to human brain. It needs to accumulate experience before it can be integrated. This is big data. With big data, cloud computing is effective
the source of data acquisition is through the connection between machines and the connection between machines and parts. This process is the Internet of things< In a word,

is to obtain big data through IOT, store it in the cloud, and then act according to cloud computing. This process is called artificial intelligence.
4.

the relationship between embedded system and Internet of things The Internet of things is an important part of the new generation of information technology. It is the integration of Internet and embedded system to the advanced stage. As an important part of the Internet of things, embedded system is helpful to deeply and comprehensively understand the essence of the Internet of things


<
Artificial Intelligence


Artificial intelligence, abbreviated as AI, is a new technological science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science. It attempts to understand the essence of intelligence and proce a new intelligent machine that can respond in a way similar to human intelligence. The research in this field includes robot, language recognition, image recognition, natural language processing and expert system. It is a simulation of the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like human and may surpass human intelligence


From the above point of view, we can simply draw a conclusion: the normal operation of the Internet of things is to transmit information to the cloud computing platform through big data, and then extract the data stored in the cloud computing platform by artificial intelligence for activities


Congratulations on reading this article. I believe that you have understood the relationship among embedded system, Internet of things, cloud computing, big data and artificial intelligence. I also believe that understanding the relationship between them can broaden your learning ideas and methods, enable you to better understand your work content in breadth, and know where to start to open the gap between yourself and others, If you have more questions about embedded and Internet of things, welcome to Dane embedded training institutions for consultation. If you want to expand through embedded training, welcome to Dane embedded training class for audition experience< br />

5.

Internet of things, big data, artificial intelligence, cloud computing, as the four major sectors of today's information technology, they are intrinsically linked, with the characteristics and trend of integration

from the perspective of a generalized entity of human intelligence, they are a whole: Internet of things is the eyes, ears, nose and touch of this entity; And big data is the collection and storage of these tactile information< AI the future will be the brain that controls this entity< cloud computing can be seen as the processing and application of big data under the command of the brain

Internet of things : the basis of big data, recording the data of people, things, things and their interaction

big data : Based on the application of Internet of things, the basis of artificial intelligence

cloud computing : computing, storage, communication tools, Internet of things, big data and artificial intelligence must rely on cloud computing distributed processing, distributed database and cloud storage, virtualization technology to form instry level applications

Artificial Intelligence : the most ideal application of big data feeds back the Internet of things

6. Cloud computing is a development trend in the future
the digital wave with big data, Internet of things, artificial intelligence and 5g as the core features is sweeping the world. The massive isomerized data brought by Internet of vehicles, instrial Internet of things and artificial intelligence biometrics, high bandwidth, low delay and other new business personalized requirements are emerging. In the future, the demand for cloud computing storage technology will be more and more intense. Whether it is indivials or enterprises, the transformation to the cloud is a trend
bird cloud focuses on providing one-stop core network cloud deployment services for indivial developer users, small and medium-sized enterprises and large enterprises, so as to simplify user cloud deployment to zero and use cloud computing easily and quickly.
7. The Internet of things focuses on the concept of sensor sensing, and it also has network transmission, information storage and processing, instry application interface and other functions. Moreover, it often shares servers, network lines and application interfaces with the Internet, which makes it possible for people to communicate with people (H2H), people to thing (h2t) and things to thing (T2T), and finally integrates human society, information space and physical world (man-machine)
at present, there is no unified definition for big data. The representative definition is 3V, which means that big data needs to meet three characteristics: volume, diversity and velocity
the rise of new Internet applications, represented by cloud computing, shows that Internet basic services are developing towards centralization and unification in terms of hardware, software and data information. In other words, big data in the future will have a new feature - unity
you can also refer to the Internet of things business website.
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