To understand the advantages and disadvantages of big data and artificial intelligence, first we have to start from the cognition and understanding of the concept of big data and artificial intelligence.

1, big data

Big data is the integrated result of the development of the Internet of Things, Web systems and information systems, of which the Internet of Things has the greatest impact, so big data can also be said to be the inevitable result of the development of the Internet of Things. Big data-related technologies are tightly focused on data, including data collection, organization, transmission, storage, security, analysis, presentation and application and so on. At present, the value of big data is mainly reflected in the analysis and application, such as big data scene analysis.

2. Artificial Intelligence

Artificial Intelligence is a typical cross-discipline, and the research focuses on six major directions, such as machine learning, natural language processing, computer vision, robotics, automated reasoning, and knowledge representation, etc. At present, the application scope of machine learning is still relatively wide, such as automatic driving, intelligent medical care, and other fields have a wide range of applications. The core of artificial intelligence is "thinking" and "decision-making", how to carry out reasonable thinking and reasonable action is the current mainstream direction of artificial intelligence research.

3, big data and artificial intelligence?

Big Data and Artificial Intelligence are not the same focus, but are closely linked, on the one hand, Artificial Intelligence needs a large amount of data as the basis for "thinking" and "decision-making", on the other hand, Big Data also needs Artificial Intelligence. On the one hand, AI needs a large amount of data as the basis for "thinking" and "decision-making", and on the other hand, big data also needs AI technology for data valorization, such as machine learning, which is a common way of data analysis. Among the two main embodiments of the value of big data, one of the main channels of data application is the intelligent body (artificial intelligence products), and the larger the amount of data provided to the intelligent body, the better the operation of the intelligent body, because the intelligent body usually needs a large amount of data for "training" and "verification", so as to ensure the operation of the intelligent body. The greater the amount of data provided to the intelligence, the better it will operate, as it usually requires a large amount of data for "training" and "validation" to ensure operational reliability and stability.

At present, the technology related to big data has matured, and the related theoretical system has been gradually improved, while artificial intelligence is still in the early stage of industry development, and the theoretical system still has a huge space for development. From the perspective of learning, it is a good choice if you start learning from big data, and it will be relatively easy to transition from big data to artificial intelligence. Overall, there is no question of superiority or inferiority between the two technologies, and there is plenty of room for development.