Smart intelligence service for data-intensive research paradigm
What data-intensive research paradigm and intelligence service mean are explained,and the challenges,service model and optimization path faced by the latter in the context of the former are discussed.Research logic is rationalized,service paradigm changed,human-machine synergy achieved in the working mode integrating data,technology and expert wisdom,following the basic process of demand perception,intelligence acquisition and product delivery.Special attention is paid to building a smart intelligence service model for data-intensive research paradigm,so as to facilitate intelligence service in becoming more intelligent.With the advent of the big data era,the data-intensive research paradigm gradually cut a figure for its unique advantages.This data-based paradigm emphasises the collection,storage,analysis and use of data,and poses new challenges to traditional intelligence services.
NETL
NSTL
万方数据
