Big data

Big data, a collection of data that can't be captured, managed, and processed within a certain timeframe using conventional software tools, is a massive, high-growth, and diverse set of information that requires a new processing paradigm in order to have greater decision-making power, insight discovery, and process optimization capabilities. The data collection is a massive, high-growth, and diverse information asset that requires new processing models for better decision-making, insight discovery, and process optimization.

Artificial Intelligence

Artificial Intelligence, abbreviated as AI, is a new technological science that researches and develops the theories, methodologies, technologies, and application systems for modeling, extending, and expanding human intelligence.

Big data technology is mainly a series of value-based operations around the data itself, including data collection, organization, storage, security, analysis, presentation and application. Big data technology and the Internet of Things, cloud computing are closely linked, the Internet of Things provides the main source of data for big data, while cloud computing provides a support platform for big data.

Artificial intelligence is still in its infancy, and the main research directions are focused on six aspects, such as natural language processing, knowledge representation, automatic reasoning, machine learning, computer vision and robotics. Artificial intelligence is a typical cross-discipline, involving philosophy, mathematics, computers, economics, neurology, linguistics and many other fields.

Relationship between Big Data and Artificial Intelligence

Big Data and Artificial Intelligence have a close relationship although they do not share the same focus, and it can be said that Big Data is the cornerstone of Artificial Intelligence, the driving force. Big data and deep learning in AI are inextricably linked, with a large amount of data, as deep learning? Learning material? , the computer can find the law from it, massive data, coupled with algorithmic breakthroughs and computational power to make AI breakthroughs, towards application.

First, AI needs a large amount of data as? thinking? and? decision-making? The second is that big data also needs AI technology for data valorization operations, such as machine learning is a common way of data analysis. Among the two main manifestations of the value of big data, one of the main channels of data application is the intelligent body (artificial intelligence products).

Artificial intelligence is the embodiment of the application of big data, is the application of big data, cloud computing scenarios. There is no AI without big data, and the more data AI applies, the more accurate the results it obtains.

On the question of what is the connection between big data and artificial intelligence, Qingteng Xiaobo will share with you here. If you have a strong interest in big data engineering, I hope this article can help you. If you still want to learn more about data analysts, big data engineers tips and materials, you can click on other articles on this site to learn.