Innovative Mode and Effective Path of Artificial Intelligence and Big Data to Promote Rural Poverty Alleviation

Poverty is still the primary problem of the country, because it is not only related to the development of poor villages, but also related to the long-term security of the country. Although after decades of exploration in poverty alleviation, China's poverty alleviation work has finally made good achievements, the poor population is constantly reducing, but poverty alleviation is still facing many problems. This paper mainly studies the innovative mode and effective path of artificial intelligence and big data to boost rural poverty alleviation. This paper uses big data and artificial intelligence to construct a set of multi-dimensional information system for poverty alleviation objects, and carries out coding and mathematical modeling for the information of poor households. The experiment shows that the algorithm in this paper can accurately identify the supporting measures required by targeted poverty alleviation groups, which is more convincing and scientific basis compared with the manual recommendation and independent selection currently implemented.