Big data is a method of achieving user portraits through data collection

Artificial intelligence is an interdisciplinary subject, involving user and machine learning.

To understand the differences and connections between big data and artificial intelligence, we first start with recognizing and understanding the concepts of big data and artificial intelligence.

1. Big data

Big data is the comprehensive result of the development of the Internet of Things, Web systems and information systems. Among them, the Internet of Things has the greatest impact, so big data can also be said to be the Internet of Things. the inevitable result of development. Big data-related technologies closely revolve around data, including data collection, organization, transmission, storage, security, analysis, presentation and application, etc. At present, the value of big data is mainly reflected in analysis and application, such as big data scenario analysis.

2. Artificial Intelligence

Artificial intelligence is a typical interdisciplinary subject. The research content focuses on machine learning, natural language processing, computer vision, robotics, automatic reasoning and knowledge representation, etc. Among the six major directions, the current application scope of machine learning is still relatively wide, such as autonomous driving, smart medical care and other fields. The core of artificial intelligence lies in "thinking" and "decision-making". How to carry out reasonable thinking and reasonable actions is the mainstream direction of current artificial intelligence research.

3. Big data and artificial intelligence

Although big data and artificial intelligence have different concerns, they are closely related. On the one hand, artificial intelligence requires a large amount of data as " The basis of "thinking" and "decision-making". On the other hand, big data also requires artificial intelligence technology for data value operations. For example, machine learning is a common method of data analysis. Among the two main manifestations of the value of big data, one of the main channels for data application is the agent (artificial intelligence product). The greater the amount of data provided to the agent, the better the effect of the agent will be, because the agent Usually a large amount of data is required for "training" and "verification" to ensure the reliability and stability of the operation.

At present, big data-related technologies have become mature and related theoretical systems have been gradually improved. However, artificial intelligence is still in the early stages of industry development, and the theoretical system still has huge room for development. From a learning perspective, if starting from big data is a good choice, the transition from big data to artificial intelligence will be relatively easy. In general, there is no question of which one is better between the two technologies, and there is a lot of room for development in both.