A few days ago, the Google Artificial Intelligence Master defeated Ke Jie and once again defeated the confidence of human players. This Master is the second generation of Google's Alpha Go who became famous after defeating Li Shishi half a year ago. Immediately after the first man-machine battle in Jiangsu Satellite TV's "Most Powerful Brain," "Baidu's brain" won the human brain in face recognition challenges. Where does the artificial intelligence business model start? ToB or toC Behind artificial intelligence, business models are less of a problem. People are even more excited about whether artificial intelligence can have boundaries or not. Few people care about artificial intelligence to make money. Anyway, giants are Money goes into research and development. In the interview with the First Financial Reporter, Yuan Hui, one of the earliest domestic small-robot CEOs who entered the field of artificial intelligence, said that AI (artificial intelligence) can be divided into general AI and specific areas AI. The former are like Google, Microsoft, Amazon, Giants such as BAT are laying the groundwork for the future, and the latter is a problem for small and medium companies to solve a vertical field. 
From another perspective, the general AI of these giants' layouts is more of a C2 user-oriented service (B2C), focusing on the "brain" level, like Alpha Go, Microsoft's Cortana, and Apple's Siri. What kind of business model can be said, it has been in the input stage, time-consuming and labor-intensive. However, they are expected to occupy the next-generation interactive mode with the layout on the general AI and become the core of the future AI. After the Internet was widely regarded as the era of IOT (Internet of things), natural conversations will replace the clicks on mobile phone screens and become the most popular form of interaction. By then, the status of mobile phones as an Internet portal will be weakened. People are using networking hardware that can be retrieved using voice. However, similar to Apple's R & D Siri's high investment and project losses are beyond the reach of small and medium-sized artificial intelligence companies. Xiaoyi Robot made a chat robot for C-end users on the MSN platform in 2006, similar to the “Little Ice†that Microsoft later introduced. This is an early commercialization test of domestic artificial intelligence companies. However, because they do not see the profitability prospects, Yuan Hui has adjusted the service direction of Xiaoi’s robots and shifted from B2C to B2B2C, that is, it directly faces enterprises and provides them with intelligent customer service. Enterprises go to serve consumers, such as helping the Construction Bank to deploy robotic customer service, and replying to package dynamics for SF Express robots. In May last year, Xiaoi Robots signed a contract worth 50 million yuan with the Guiyang municipal government at the Guiyang Digital Fair. Financial institutions such as government, telecom operators, and banks are important revenue sources for such smart customer service, and a clear trend recently is that “long tail†customers such as IT companies, internet companies, and manufacturing industries are increasing. Deepening the field of smart customer service has brought small and medium-sized companies cash flow for continuous research and development of artificial intelligence. However, the immediate reality is that it is difficult to quickly achieve large scale in a single area, and it is easy to encounter ceilings in vertical areas. At present, there are plenty of opportunities for artificial intelligence in vertical areas such as smart homes, smart vehicles, smart medical care, and smart cities, but these areas have not yet seen a clear path to commercialization. "Faced with the sea of ​​artificial intelligence, we (all AI companies) are like children, each with a boat, ready to sail, but no one is able to conquer this piece of sea." Yuan Hui analogized the current level of development of artificial intelligence. For the profit model of to C services, he insists that charging to C-end users is a feasible direction in the future. However, the immediate realization is that even the giants have not made an AI product sufficient for large-scale users to pay. Like Sogou doing voice search, AI technology is also implanted in input methods, browsers and other products, and then rely on advertising to make money, rather than direct payment. Kevin Kelly, the founding editor of Wired magazine, predicts that artificial intelligence will be like water and electricity in the future. Users will pay according to the degree of use and use it with them. The realization of this idea also needs to go through a business model's exploration process.
From another perspective, the general AI of these giants' layouts is more of a C2 user-oriented service (B2C), focusing on the "brain" level, like Alpha Go, Microsoft's Cortana, and Apple's Siri. What kind of business model can be said, it has been in the input stage, time-consuming and labor-intensive. However, they are expected to occupy the next-generation interactive mode with the layout on the general AI and become the core of the future AI. After the Internet was widely regarded as the era of IOT (Internet of things), natural conversations will replace the clicks on mobile phone screens and become the most popular form of interaction. By then, the status of mobile phones as an Internet portal will be weakened. People are using networking hardware that can be retrieved using voice. However, similar to Apple's R & D Siri's high investment and project losses are beyond the reach of small and medium-sized artificial intelligence companies. Xiaoyi Robot made a chat robot for C-end users on the MSN platform in 2006, similar to the “Little Ice†that Microsoft later introduced. This is an early commercialization test of domestic artificial intelligence companies. However, because they do not see the profitability prospects, Yuan Hui has adjusted the service direction of Xiaoi’s robots and shifted from B2C to B2B2C, that is, it directly faces enterprises and provides them with intelligent customer service. Enterprises go to serve consumers, such as helping the Construction Bank to deploy robotic customer service, and replying to package dynamics for SF Express robots. In May last year, Xiaoi Robots signed a contract worth 50 million yuan with the Guiyang municipal government at the Guiyang Digital Fair. Financial institutions such as government, telecom operators, and banks are important revenue sources for such smart customer service, and a clear trend recently is that “long tail†customers such as IT companies, internet companies, and manufacturing industries are increasing. Deepening the field of smart customer service has brought small and medium-sized companies cash flow for continuous research and development of artificial intelligence. However, the immediate reality is that it is difficult to quickly achieve large scale in a single area, and it is easy to encounter ceilings in vertical areas. At present, there are plenty of opportunities for artificial intelligence in vertical areas such as smart homes, smart vehicles, smart medical care, and smart cities, but these areas have not yet seen a clear path to commercialization. "Faced with the sea of ​​artificial intelligence, we (all AI companies) are like children, each with a boat, ready to sail, but no one is able to conquer this piece of sea." Yuan Hui analogized the current level of development of artificial intelligence. For the profit model of to C services, he insists that charging to C-end users is a feasible direction in the future. However, the immediate realization is that even the giants have not made an AI product sufficient for large-scale users to pay. Like Sogou doing voice search, AI technology is also implanted in input methods, browsers and other products, and then rely on advertising to make money, rather than direct payment. Kevin Kelly, the founding editor of Wired magazine, predicts that artificial intelligence will be like water and electricity in the future. Users will pay according to the degree of use and use it with them. The realization of this idea also needs to go through a business model's exploration process.
KNM3 Series Moulded Case Circuit Breaker
KNM3 series Moulded Case Circuit Breaker is MCCB , How to select good Molded Case Circuit Breaker suppliers? Korlen electric is your first choice. All moulded Case Circuit Breakers pass the CE.CB.SEMKO.SIRIM etc. Certificates.
Moulded Case Circuit Breaker /MCCB can be used to distribute electric power and protect power equipment against overload and short-current, and can change the circuit and start motor infrequently. The application of Moulded Case Circuit Breaker /MCCB is industrial.
Korlen electric also provide Miniature Circuit Breaker /MCB. Residual Current Circuit Breaker /RCCB. RCBO. Led light and so on .
KNM3 series Molded Case Circuit Breaker,Small Size Molded Case Circuit Breaker,Electrical Molded Case Circuit Breaker,Automatic Molded Case Circuit Breaker
Wenzhou Korlen Electric Appliances Co., Ltd. , https://www.zjmotorstarter.com