Introduction to AI industry applications

Artificial Intelligence (Artificial Intelligence), abbreviated as AI, is a science that studies the theory, methods and technologies of simulating, extending and expanding human intelligence, which was born in the 50s of the 20th century, and has now developed into six major fields: computer vision, natural language understanding and communication, cognition and reasoning, robotics, game and ethics, and machine learning, and shows a trend of mutual penetration of various fields.

Among them, machine learning studies how to automatically learn the data structure and internal rules of input data samples under the guidance of algorithms and obtain new experience and knowledge, so as to intelligently identify new samples and even predict the future. Typical machine learning algorithms include linear regression, K-means, K-nearest neighbors, principal component analysis, support vector machines, decision trees, artificial neural networks, etc.

What can AI do?

Artificial intelligence has two capabilities: "fast processing" and "self-learning". AI enables rapid processing of learning, decision-making, and action. Computers process information, communicate information, and perform parallel and linear computations faster than humans. Artificial intelligence can learn and manage knowledge more flexibly and independently, and support the systematic management of "generation, storage, application, and update" of knowledge.

Where is AI used?

Artificial intelligence has been successfully applied in image recognition, language recognition and natural language processing, as well as human-computer interaction, machine vision, autonomous driving, etc.

AI makes it easier to solve business problems that:

1. There are continuous pain points in the industry;

2. The business process itself has digital information input, the problems can be subdivided and clearly defined, the business process is repetitive, and the communication of the results obtained is mainly written communication or one-phase communication;

3. Places where business processes are less affected by the complexity of the overall business environment.

How is data collected for AI?

1. Self-raised data: that is, starting from scratch and investing a lot of manpower to collect data.

2. Public data: Various Internet platforms or large companies have their own databases.

3. Industrial data collaboration: that is, downstream start-ups or industry companies and upstream data or platform companies in the industrial chain establish cooperation to connect products or data that are beneficial to both parties.

The advantage of artificial intelligence is that it has massive, accurate and high-quality data, which can provide raw materials for training artificial intelligence, so the competition between artificial intelligence companies in the future may be the competition of big data. Why did Ali spend 9.5 billion yuan to acquire Ele.me, which was jokingly called "Jack Ma ordered the most expensive takeaway in history". According to the latest public data, Ele.me has 260 million users and more than 2 million merchants, and Ali's acquisition may be to obtain a large amount of data and prepare for the next artificial intelligence layout.