The development trend of artificial intelligence in the big data environment

With the arrival of the era of big data, data can no longer be expressed simply in two-dimensional form, and the demand for data value in industry is getting higher and higher, which promotes the emergence of many industries derived from big data. Artificial intelligence is one of the products of this new era. Through the continuous efforts of scientists, artificial intelligence has developed to an unprecedented situation, but Turing Award winner Judy Bohr believes that the current artificial intelligence is only weak artificial intelligence, in order to achieve universal intelligent machines must learn causality, only by climbing the second layer of causality theory can we reach the peak of strong artificial intelligence. This paper gives a brief overview of big data, reviews the course of causal development, introduces some methods involved in causality, and finally analyzes the obstacles to the development of artificial intelligence today. it is concluded that only the development of causality can help artificial intelligence to make new achievements.