Collection and processing of massive data.As the scale of data becomes larger,the types of data become more abundant,and the demand for real-time data analysis is getting higher and higher,whether it is index calculation or in-depth analysis,how to accelerate the realization of data value is still a great challenge for enterprises.
Data analysis is far from the goal of intelligence.The current data analysis is mainly based on statistics and comparison,and lack of diagnosis,prediction and optimization analysis combined with domain knowledge.Obtaining valuable key data from massive and diverse data and using artificial intelligence methods for data analysis is the future trend to improve the level of intelligence.
海量数据的采集和处理。随着数据规模越来越庞大、数据类型越来越丰富,以及数据实时分析需求越来越高,无论指标计算还是深度分析,企业如何加速实现数据价值依然是其面临的极大考验。
数据分析离智能化目标相去甚远。目前的数据分析主要以统计和对比为主,缺少结合领域知识的诊断、预测和优化分析。从海量多样性数据中获取有价值的关键数据,采用人工智能方法进行数据分析,是提升智能化水平的未来趋势。
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