His lecture was extremely engineer-like and logically demonstrated the other side of Xiaomi's use - how to use the massive data and machine learning techniques produced by the product, landed "artificial intelligence" on various Internet businesses, and promoted the hardware of the Internet of Things. Intelligent.
Unlike those entrepreneurs who can't wait to put the words "AI" on their heads, the entrepreneurs who are very good are very different. The content that Huang Jiangji says is closely integrated with the actual business. It is a typical mature company's approach to the turning point of technology. This is also the most respected idea of ​​Lei Feng.
Huang Jiangji said that Xiaomi’s use of artificial intelligence methods and services (search, recommendation, advertising, cloud albums, etc.) may not be exactly the same as the artificial intelligence AI that everyone imagines, but these businesses benefit from deep learning technologies and The results are immediate.
I think that breakthroughs in artificial intelligence and deep learning over the past few years, and contributions to this industry, are far more than basic techniques such as speech recognition and image processing that everyone understands. In fact, every application and product that needs an algorithm can use it. This is the greatest significance of machine learning to us. It completely changes the methodology of engineers' products.
Huang Jiangji's methodologies refer to the data generated by users because of the use of products. Through the processing of machine learning technology, products are made more intelligent and thus form a positive cycle (see the figure above). He believes that this cycle has become the new normal for product development.
Millet's "Data Factory"
According to Huang Jiangji, Xiaomi’s data mainly comes from mobile phones and other Internet of Things IOT devices (also known as smart devices).
Mobile phones. Milli’s MIUI system has more than 200 million users, of which 8 applications have daily activity exceeding 10 million, including: weather, calendars, application stores, music, photo albums, security centers, browsers, and millet videos; daily activity exceeds 1 million There are 17 applications, in addition to the aforementioned eight, there are nine, namely: millet life, personality theme, Mi Jia, notes, games, mailboxes, wallets, finance, reading.
Huang Jiangji said:
The activity of the application has two meanings for Xiaomi: first, it understands the real needs of each user through the feedback of users' usage; second, because the user is very active in using the mobile phone, Xiaomi can obtain more data. . These data, in turn, help Xiaomi improve the product.
For IoT devices, mobile phones are not included, and Xiaomi has sold more than 37 million smart devices. Three years ago, with the wave of IOT, Xiaomi began to get involved in the hardware used in user life, including televisions, routers, bracelets, and a series of devices from the ecosystem.