AI artificial intelligence technology,
What are the application scenarios?
1. Intelligent customer service: Combined with natural language processing technology, it provides users with 24-hour uninterrupted query and problem-solving services, which can improve customer service efficiency and reduce costs;
2. Financial risk assessment: Through machine learning algorithms, it analyzes users' credit history, transaction records and other data to provide financial institutions with more accurate risk assessment results;
3. Medical auxiliary diagnosis: With the help of image recognition technology, it helps doctors diagnose diseases more accurately, and has great potential in early diagnosis of lung cancer and identification of skin diseases;
4. Autonomous driving: Using computer vision, radar technology and deep learning algorithms to achieve autonomous driving of vehicles Aviation, currently commercial testing has been carried out in some cities;
5. Recommendation system: E-commerce platforms and video websites use machine learning algorithms to provide users with personalized recommendations, improve user experience and platform benefits;
6. Smart city construction: Combining big data and Internet of Things technology to achieve intelligent management of cities, such as smart transportation, smart energy, etc., can greatly improve the operating efficiency of cities;
7. Industrial manufacturing: The industrial field can explore intelligent scenarios such as industrial brain, robot-assisted manufacturing, machine vision industrial detection, and equipment interconnection management to optimize production processes and improve production quality and efficiency. For example, Schneider Electric uses AI algorithms develop intelligent control strategies for Budweiser's production lines to optimize overall quality, cost, and efficiency;
8. Logistics: Prioritize the exploration of intelligent scenarios such as robot diversion and sorting, material handling, intelligent three-dimensional warehousing, and traceability terminals to improve the efficiency and accuracy of logistics operations;
9. Data centers: Based on AI algorithms and machine learning, optimize the equipment in the computer room to achieve energy saving and efficiency improvement. For example, Schneider Electric helps Dalian Bank optimize the terminal precision air conditioning in the computer room and globally optimize the control of the cold station system. It is expected that the refrigeration efficiency of the cold station will increase by 20%;
The above content is for information sharing only and does not constitute any investment advice! Investment is risky, so be cautious when entering the market!
