Business Intelligence Implementation Method Of Reinforcement Learning In Big Data Scenarios

The advent of the big data era has made the types and components of business data structure changed.In some scenarios,traditional business intelligence tools have been unable to meet the needs of modern enterprise intelligence decision-making.At the same time,with the development of new technologies such as cloud computing and Internet of things,new business needs have been spawned.Therefore,it is of great theoretical and practical significance to apply the new results of machine learning and research in artificial intelligence to the application of learning to business intelligence in the field of business intelligence.Aiming at the background of big data,this paper discusses the application plan and related technologies of reinforcement learning in business intelligence in machine learning methods.Based on the characteristics of business intelligence system in big data scenario,we use enhanced learning algorithm to explore the construction method and application process of the enhanced learning business intelligence system.Due to the improvement of traditional business intelligence system concept,cooperative application of large data analysis technology and enhanced learning method in machine learning field,the problem of real-time analysis and calculation of intelligent system in the future is solved,and the level and efficiency of enterprise decision-making are improved.On the basis of the study of the traditional Markov decision process theory,the optimal decision solution is obtained by learning the enhancement function from the business state environment to obtain the state reward parameters and the action parameters by using the large data analysis technology in the business intelligence realization of the business state lag and the clear business state boundary.The experiment selects the finite state small warehouse inventory business problem as an example.The Q learning matrix is constructed by using the Q learning algorithm in reinforcement learning,and an empirical study is carried out.The results show that the proposed method is effective.Finally,we explore the implementation of business intelligence in augmented learning in big data scenarios.