云计算大数据人工智能三者关系(大数据云计算人工智能)

The relationship between artificial intelligence, big data, cloud computing, the Internet of Things, and the Internet
Briefly explain the above picture (viewed from bottom to top, I am also a melon-eater, so there is no guarantee Professional, only for popular understanding):
IoT and IoI
IoT, Internet of Things, Internet of Things; IoI, Internet of Information, Internet;
These two networks are used to connect all things and information. Why should they be connected? Because only when things and information are connected can the data be related, and only when the data is related can greater value be generated. For example, the location data of one vehicle is of little value, but by correlating the location data of thousands of vehicles, it can be used to determine road congestion and can also be used for traffic scheduling.
Cloud Computing
The Internet of Things and the Internet generate a large amount of data, which must be stored and processed centrally, which requires cloud computing. Without cloud computing, a separate backend server would be deployed to receive the data generated by a refrigerator, and the cost and convenience would be unacceptable. The role of cloud computing is to centrally store and process massive amounts of data.
Big Data
After massive data is uploaded to the cloud computing platform, it is natural to conduct in-depth analysis and mining of the data. This is the purpose of big data. By combining the location information of thousands of vehicles, we can analyze the congestion situation of a certain road; by comprehensively analyzing the health status of millions of people in a certain city, we may be able to conclude that the incidence rate of a certain disease is relatively high around a certain factory. conclusion. . . . . . These are all things big data does.
Artificial Intelligence
Big data is based on the analysis of massive data to discover some hidden rules, phenomena, principles, etc., and artificial intelligence goes one step further based on big data. Artificial intelligence will analyze data and then take actions based on the analysis results, such as driverless driving and automatic medical diagnosis.

The development of cloud computing, big data and artificial intelligence cannot be discussed separately. The three are closely related. They are interconnected and dependent on each other. No one can develop better without it. Let us take a look at it in detail!
1. Big Data
Big data refers to a collection of data that cannot be captured, managed and processed with conventional software tools within a certain time range. It requires new processing models to have stronger decision-making power and insight discovery. massive, high growth rate and diversified information assets with strong capabilities and process optimization capabilities.
In "The Age of Big Data" written by Victor Meyer-Schoenberg and Kenneth Cukier, big data refers to the use of all data for analysis and processing without shortcuts such as random analysis (sampling surveys). . The 5V characteristics of big data (proposed by IBM): Volume, Velocity, Variety, Value, and Veracity.
Data is generated every day in all walks of life, and the amount of data is also quite large. However, how to integrate data, clean data, and then realize the value of data is the focus of research in today's big data industry. The last thing big data needs to achieve is data hyper-fusion. Only when it is applied to application scenarios can the value of big data be reflected.
Artificial intelligence is the embodiment of big data application.
2. Cloud Computing
Cloud computing (cloud computing) is the addition, use and delivery model of Internet-based related services, which usually involves the provision of dynamically scalable and often virtualized resources through the Internet. Cloud is a metaphor for network and Internet. In the past, cloud was often used to represent telecommunications networks in diagrams, and later it was also used to represent the abstraction of the Internet and underlying infrastructure. Therefore, cloud computing can even allow you to experience 10 trillion calculations per second. With such powerful computing power, you can simulate nuclear explosions, predict climate change and market development trends. Users access the data center through computers, laptops, mobile phones, etc., and perform calculations according to their own needs.
There are many definitions of cloud computing. There are at least 100 explanations for what exactly cloud computing is. The widely accepted definition at this stage is the National Institute of Standards and Technology (NIST): Cloud computing is a pay-per-use model that provides available, convenient, on-demand network access and is configurable. A shared pool of computing resources (resources including networks, servers, storage, application software, services) that can be quickly provisioned with little management effort or minimal interaction with service providers.
To put it bluntly, what does cloud computing calculate? What does cloud storage store? It’s still big data! Therefore, it is unscientific to talk about cloud computing without big data and big data without cloud computing.
3. Artificial Intelligence
Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems 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 humans and may even exceed human intelligence.
Artificial intelligence is a very challenging science, and those engaged in this work must understand computer knowledge, psychology and philosophy. Artificial intelligence is a very broad science, which consists of different fields, such as machine learning, computer vision, etc. Generally speaking, a main goal of artificial intelligence research is to enable machines to perform tasks that usually require human intelligence. Complex work. But different times and different people have different understandings of this complex work.
Artificial intelligence is actually the application scenario of big data and cloud computing.
VR, which is now relatively popular, and immersive experience relies on big data and cloud computing to allow users to have a more realistic experience, and VR technology can be used in all walks of life.
Artificial intelligence is different from traditional robots. Traditional robots only replace humans to do some work that has already been entered. Artificial intelligence includes machine learning, from passive to active, from patterned implementation of instructions to independent judgment based on The situation implements different instructions, and this is the difference.
The concept of big data has been very popular in the past few years, but it has only begun to slowly come to fruition in the past two years, relying on the development of cloud computing and people's expectations for artificial intelligence.