First, the data processing level. M

First, the data processing level. Massive, accurate, and high-quality data provides raw materials for training artificial intelligence, and data provides basic back-end guarantees for the realization of artificial intelligence technology and the landing of artificial intelligence applications. How to obtain and process data are two major problems in the basic data processing of artificial intelligence. At the current stage, data is the necessary foundation for artificial intelligence applications. In the long-term business development, the accumulated data is diverse in dimensions, huge in volume, and complex in form, and data cannot be integrated and interconnected in many cases, forming data barriers. How to select and obtain high-quality and accurate data from the mixed raw data also faces several major problems. The problem of collecting raw data is that the types of raw data are complicated. At the same time, it is necessary to find data collectors. There are many offline data and wide types. The use of outsourcing manual collection requires a lot of manpower and financial resources. In addition, due to the lack of uniform standards in the industry, data processing methods are inconsistent, which wastes manpower. Of course, artificial intelligence in some industries can already achieve its own effects. For example, speech recognition, intelligent robots and other artificial intelligence, such as the system can collect the local dialect of the product, and the data is recorded through the mobile phone's own microphone, such as the Anhui dialect, and recorded separately in a quiet and noisy environment. Later, through voice data transcribing, the dialect is converted into Mandarin to achieve the use effect.