First, manufacturing.
Intelligent manufacturing is the whole manufacturing process based on the Internet of Things, including enterprises and society. Further extend the "intelligent factory", "intelligent production" and "intelligent logistics" of Industry 4.0 to the whole process intelligence such as "intelligent consumption" and "intelligent service". Only in these senses can we truly realize the unprecedented situation we are facing. The application of artificial intelligence in manufacturing mainly includes three aspects: first, intelligent equipment, including automatic identification equipment, human-computer interaction system, industrial robots and CNC machine tools. Secondly, intelligent factory, including intelligent design, intelligent production, intelligent management and integrated optimization. Finally, intelligent services, including large-scale personalized customization, remote operation and maintenance, predictive maintenance and other specific service models. Although the current solution of artificial intelligence can not fully meet the requirements of manufacturing industry, as a general technology, the integration of artificial intelligence and manufacturing industry is the general trend.
Second, home.
Smart home is mainly based on the Internet of Things technology, and constitutes a complete home ecosystem through intelligent hardware, software systems and cloud computing platforms. Users can remotely control equipment, and the equipment can be interconnected and learn independently, thus optimizing the safety, energy saving and convenience of the home environment as a whole. It is worth mentioning that in the past two years, with the development of intelligent voice technology, smart speakers have become an explosion point. Smart speakers are not only audio products, but also smart products covering content services, Internet services and voice interaction functions. They not only have WiFi connection function, but also provide content services such as music and audio books, Internet services such as information inquiry and online shopping, and can also be connected with smart homes to realize scene smart home control.
Second, finance.
The emergence and development of artificial intelligence not only promoted the initiative and wisdom of financial institutions, effectively improved the efficiency of financial services, but also improved the risk management and control capabilities of financial institutions, which had a positive impact on the innovative development of the financial industry. The applications of artificial intelligence in the financial field mainly include: intelligent customer acquisition, identity recognition, big data risk control, intelligent investment, intelligent customer service, financial cloud and so on. This industry is also the earliest and most comprehensive industry in which artificial intelligence has penetrated. In the future, artificial intelligence will continue to drive the upgrading and efficiency improvement of intelligent applications in the financial industry.
Fourth, retail.
Artificial intelligence has been widely used in the retail field and is changing the way people shop. Unmanned convenience store, intelligent supply chain, passenger flow statistics, unmanned warehouse/unmanned vehicle, etc. They are all hot directions. Through the close cooperation of big data and business processes, artificial intelligence can optimize the resource allocation of the entire retail industry chain, create more benefits for enterprises and make consumers experience better. In the design process, the machine can provide the design scheme; In the manufacturing process, the machine can be fully automated; In the supply chain, the unmanned warehouse managed by computer can predict the sales volume and inventory demand, and replenish and adjust the goods reasonably; In the terminal retail link, the machine can intelligently choose the location, optimize the display location of goods, and analyze the shopping behavior of consumers.
Verb (abbreviation for verb) transport
Big data and artificial intelligence can make traffic smarter. Intelligent transportation system is the product of comprehensive application of communication, information and control technology in transportation system. By collecting and analyzing traffic volume and speed, monitoring and dispatching traffic can effectively improve traffic capacity, simplify traffic management and reduce environmental pollution. Artificial intelligence can also protect our safety. People who drive for a long time will feel tired and prone to traffic accidents, and driverless driving has solved these problems well. The driverless system can also integrate and analyze traffic lights, car navigation maps and the number of cars on the road, plan the optimal traffic route, improve road utilization, reduce traffic congestion and save traffic travel time.
Sixth, safety.
The security field covers a wide range, from individuals and families to community, city and national security. At present, there are four main types of intelligent security products: human body analysis, vehicle analysis, behavior analysis and image analysis; The application in the field of security mainly plays a role through technologies such as image recognition, big data and video structuring; From the industry point of view, it is widely used in public security, transportation, buildings, finance, industry, civil and other fields.
Seven, medical care
At present, artificial intelligence is widely used in the medical field, from the initial drug research and development to surgery. At present, artificial intelligence startups in the medical field can be divided into eight main directions, including medical imaging and diagnosis, medical research, medical risk analysis, drug mining, virtual nurse assistant, health management monitoring, mental health and nutrition. Among them, assisting the diagnosis and prediction of patients' diseases has gradually become the mainstream application direction of artificial intelligence technology in the medical field.
Eight. education
Through image recognition, you can correct test papers, identify topics and answer questions by machine; Pronunciation can be corrected and improved through speech recognition; Man-machine interaction can answer questions online. The combination of AI and education can improve the unbalanced distribution and high cost of teachers in the education industry to a certain extent, and provide more efficient learning methods for teachers and students from the tool level, but it cannot have a more substantial impact on the educational content.
Nine. logistics
By using intelligent search, reasoning planning, computer vision, intelligent robots and other technologies, the logistics industry has automatically transformed the processes of transportation, warehousing, distribution, loading and unloading, and basically realized unmanned operation. For example, using big data to plan the intelligent distribution of goods, optimize logistics supply, demand matching and the allocation of logistics resources. At present, most of the manpower in the logistics industry is distributed in the "last mile" distribution link.
Probably these fields. These are some general directions. Of course, they will not only have such a little effect. Others also need to be stubborn on their own. That's all for today's sharing. Welcome everyone to exchange experiences with me.
Let's talk about the training class. Let's talk briefly here. My personal suggestion is that it is best to have an institution that can support you to learn certain skills and provide some project trainers later. You can make a field trip at most, and don't choose some small training institutions or famous schools.