Data Hidden Worries in the Smart Boom and Countermeasures

Data, as a key element of intelligent applications, is the basis for promoting the transformation of intelligent applications from low-quality to high-efficiency, and plays a crucial role. However, from the perspective of specific practice, data collection, data collection, data algorithm model development and other aspects of the current intelligent boom are characterized by fuzzy specifications, lack of standards, value shift and other issues, which may result in systematic application risks. Therefore, we should adhere to the compliance thinking, comprehensive norms, standards and other latitude, and scientifically build a reliable mechanism for the orderly operation of intelligent data.